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Open Access Article
1 - Using the new meta-heuristic algorithm to determine the optimal capacity and location of electric car parking with the presence of renewable energy sources in the distribution system
Reza SedaghatiDue to the importance of distribution systems, optimal planning and safety of these networks are very important. On the other hand, electric vehicles are one of the main characteristics of future electricity distribution networks. The uncoordinated and unmanaged presenc MoreDue to the importance of distribution systems, optimal planning and safety of these networks are very important. On the other hand, electric vehicles are one of the main characteristics of future electricity distribution networks. The uncoordinated and unmanaged presence of electric vehicles as an additional load in the network can aggravate problems such as voltage drop, voltage stability and increase in network losses. In order to alleviate the effects caused by the uncontrolled presence of these cars, it is necessary to manage their required power in coordination with other dispersed production sources. Therefore, we should try to reduce losses by properly planning the charging and discharging of cars, along with scattered productions, having the right voltage and, as a result, better economic efficiency. Therefore, in this article, the optimal use of electric car parking lots with the presence of renewable energy sources in the distribution system has been studied. Optimization of the problem, a new meta-heuristic algorithm based on the flower pollination algorithm was used to determine the variables of the problem, including the optimal capacity and location of solar sources, as well as electric parking lots and diesel generators in the distribution network. The problem is subject to network operation restrictions (thermal line restrictions, network bus voltage restrictions, etc.), the number of cars in electric parking lots, the permitted power capacity of solar units, and the capacity of diesels have been optimized. In this study, the capability of the proposed method based on the flower pollination algorithm has been evaluated with other algorithms. The simulation was done on the distribution network of 33 IEEE buses, and the results show that the convergence speed and accuracy of the proposed method is high. Manuscript profile -
Open Access Article
2 - Combined optimization of the bi-level supply chain of closed loop in uncertainty conditions
Shahram Rostampour soleyman Iranzadeh Naser Feghhi farahmandSupply chain management is considered one of the most important pillars of today's businesses, and a large portion of the cost of any manufacturing and service organization is spent in this cycle.One of the most important components of the efficiency of each supply chai MoreSupply chain management is considered one of the most important pillars of today's businesses, and a large portion of the cost of any manufacturing and service organization is spent in this cycle.One of the most important components of the efficiency of each supply chain is the availability of an optimal transportation system. The mathematical approach governing the modeling and optimization of this transportation system is the Vehicle Routing Problem Approach. In this paper, with the aim of minimizing supply chain costs and maximizing customer satisfaction, modeling, solving and verifying the distribution system in a bi-level closed loop supply chain with uncertain variables has been undertaken.Here, due to the uncertainty of the modeling variables, and that the optimal answer can be any vector combination of the studied graph nodes, the problem is classified in terms of the degree of complexity of the NP-hard issues and its optimal solution through methods Classical mathematical programming is not possible.In this study, a metaheuristic fire-fly algorithm used to solve the problem. In this regard, the main variables and parameters included in the model are the number, speed, capacity, average loaded and distance traveled,and the number, Geographical distribution, the amount of goods requested and returned of retailers. In order to investigate the validity of the obtained response, we also modeling and solving of 3 scenarios and comparing the results with a random method(current method in distribution company), which shows the effectiveness of the proposed method. Manuscript profile -
Open Access Article
3 - Making the Scenarios of knowledge management component effects on supply chain with system dynamics approach
elham elmi adel azar farhad ghaffariBackground: In advanced organizations, managers' decisions and policies along the supply chain require the use of knowledge management. One of the most important decisions to be made in the supply chain is the production planning, that it’s management needs provid MoreBackground: In advanced organizations, managers' decisions and policies along the supply chain require the use of knowledge management. One of the most important decisions to be made in the supply chain is the production planning, that it’s management needs provident decisions and designing new capacities with a comprehensive and continuous approach, and it’s not achievable through a static approach. Objective: This study seeks to provide a dynamic model to investigate the impact of possible knowledge management scenarios on the components of the oil supply chain in the framework of systems thinking. Methods: Current study based on purpose ,is an applied research and based on data character is a quantitative and qualitative and based on data acquisition that is a casual-analytical research. This research is studied in a petrochemical products production company in a 20 years period .And thanks to questionnaire and expert validation ,first basic variables detected and their relations compiled in casual loops, then basic model completed by flow accumulation diagram and simulated by vensim software. Findings: The proposed scenarios evaluate the effects of knowledge management variables on production rate and reduction of wastage rate. Conclusion: This model has succeeded in increasing the production rate and reducing the waste rate in the supply chain by providing appropriate outputs and utilizing knowledge management components. Also, validation tests and sensitivity analysis performed on the model show its validity. Manuscript profile -
Open Access Article
4 - Developing a Facility Layout optimization method using Mathematical Modeling (Case Study: Pooya Khodro Shargh)
A. Toloei ashlaghi M. Mojrian,This paper designs a mathematical model for facility location using integer programming methods tosolve optimization problems. . This study first evaluates the Pooya Khodro Shargh company,examining the length and width of the department and the frequency of material flo MoreThis paper designs a mathematical model for facility location using integer programming methods tosolve optimization problems. . This study first evaluates the Pooya Khodro Shargh company,examining the length and width of the department and the frequency of material flow betweendepartments. Optimization is an approach which finds the best possible answer to a question forexisting constraints. This paper expands the Nordin model to minimize the total flow and distancefrom a department to other departments, according to the objective function. The distance is measuredfrom the center of departments in a straight line. Manuscript profile -
Open Access Article
5 - The Determining Degree of Maturity and Effectiveness of Human Capital Management in Mobarakeh Steel Company
I. SoltaniToday human capital management is an important factor in competitive advantage, because people cantransfer knowledge to product and service needed by customer.Organizations should step toward optimizing efficiency of human capital. It is possible to predicthuman resourc MoreToday human capital management is an important factor in competitive advantage, because people cantransfer knowledge to product and service needed by customer.Organizations should step toward optimizing efficiency of human capital. It is possible to predicthuman resource performance by determining maturity level and effectiveness of system related tohuman capital, and also step toward improvement. Hence and considering importance of humancapital. This study was conducted in order to determine maturity level and effectiveness of humancapital, management in Mobarakeh Steel Company. So, using formula of estimation of samplevolume, 240 employees were selected randomly that 237 questionnaires were returned. The researchtool for data gathering was human capital five driver questionire designed by bassi and Mc Murrer.Examining reliability and internal consistency of test showed that reliability was α=0/92 and by splithalf was 0/87, after data gathering, information was analyzed by spss-13, descriptive statistics,fridmen two – sentence test and analysis of variance. The results showed that maturity level andeffectiveness of human capital management in Mobarakeh Steel Company was 64.5% examining fivedrive of human capital showed the following means respectively: Mean 3/41 for learning capacity,mean 3/28 for availability of knowledge, mean 3/24 for people participation mean 3/21 for optimizingwork force, mean 3/08 for leadership practices. Manuscript profile -
Open Access Article
6 - Providing a model to optimize human resource empowerment strategies in East Azerbaijan Social Security Organization.
kheyrollah SarbolandTheme: The point considered in human resource management (staff) is empowering them. The present study tries to provide a model for optimizing human resource empowerment strategies.Method: The descriptive and survey methods were used in the study. 256 people- all of the MoreTheme: The point considered in human resource management (staff) is empowering them. The present study tries to provide a model for optimizing human resource empowerment strategies.Method: The descriptive and survey methods were used in the study. 256 people- all of the employees of Social Security Organization of East Azerbaijan were selected on the basis of random categorization.The data tool for collecting information was a researcher-made questionnaire of optimizing human resource empowerment strategies. We used descriptive statistics for categorizing, one-variable t-test and multi variable analysis of variance to analyses the data. To investigate the research model structural equation modeling was used with Amos Software.Findings: According to the results all the hypotheses confirmed. After reforming and getting to the final model with respect to fitting values, the results showed that the model has a good fit and strength.Conclusion: Results of analysis showed that, in order to optimize human resource empowerment in Social Security Organization, training strategy, IT strategy, management and leadership strategy, appropriate structure strategy and management support strategy are used.Key Words: Optimization, Empowerment, Social Security Organization of East Azarbaijan Province. Manuscript profile -
Open Access Article
7 - Assessing energy performance of simulation-powered internal sun shading devices for residential buildings in Tehran
Alireza Karimpour darab diba Iraj EtesamSustainable development as a process for meeting human development goals while sustaining the ability of natural systems to continue to provide the natural resources has an undeniable impact on all aspects of human life. Energy efficiency is an essential factor for sust MoreSustainable development as a process for meeting human development goals while sustaining the ability of natural systems to continue to provide the natural resources has an undeniable impact on all aspects of human life. Energy efficiency is an essential factor for sustainable development and in spite of worldwide climate change problems caused by fossil fuel use, energy consumption levels in Iran, while already high, continues to rise each year. About 40% of energy consumed by the residential buildings in this country is fossil fuel-derived. Therefore providing solutions to reduce energy consumption in this sector is very important. Tehran is largest city of Iran, and significant amounts of energy are consumed in these city. However, due to its location in semi-arid climatic region, high sun’s radiation even in winter and low relative humidity of the air, this city has a high potential for energy conservation in residential buildings. Therefore the introduction of energy efficient buildings in this city would have a significant overall impact on national energy consumption levels. Sun shading devices are one of the most efficient elements to manage the interaction between the interiors and exteriors of buildings. They can significantly reduce cooling loads, improve thermal comfort, prevent the heat loss in the winter and reduce potential glare problems in residential buildings. Sun shading devices can be categorized according to their placement as interior, exterior and mid-pane. Result of research and studies shows that the effectiveness increase 35% by using outside shade protection instead of inside one. This research is aware of this fact that optimized internal sun shading devices are not comparable with the external sun shading devices in efficiency and performance. Although due to the increased utilization of them in the residential buildings, this research studied the internal sun shading devices and determined the optimized internal sun shading system, and then analyzed its effect on the energy consumption in the residential building model. In this study at the first phase, the combination of four types of internal sun shading devices with three types of windows are evaluated by the Parasol simulation software to determine the optimized internal sun shading system. Simulations show that the double glazed transparent window with dense reflective Roller Blind (as optimized sun shading system), has most appropriate thermal behavior. At the next step, a building model as a case study (The six-story apartment in the city of Tehran) was considered for simulations of energy consumption. The Building Calc. software was applied for energy simulations and heating, cooling and total energy consumption of building was calculated with and without optimized internal sun shading system. The result shows that efficiency of internal sun shading devices increase by using dense texture, high reflectance and low transfer rate. Also only by using optimized internal sun shading system reduce energy consumption of residential buildings in Tehran up to 14%. Because of the large coordination with Iran’s economic, cultural and social conditions this method could be one of the best solutions to reduce the energy demand in residential buildings. Manuscript profile -
Open Access Article
8 - Sustainable Prefabricated Structure Design by Salt Sediment Inspired from Material Distribution Optimization of Human Trabecular Bone
Azin Jalali mahmoud golabchiNature can be an interesting source of human inspiration for design and inventions. Man has been always related to the nature in different levels. Bionic Architecture is a new trend in contemporary world that benefits from sustainable nature`s solutions for human proble MoreNature can be an interesting source of human inspiration for design and inventions. Man has been always related to the nature in different levels. Bionic Architecture is a new trend in contemporary world that benefits from sustainable nature`s solutions for human problems. There are two main methods of bio inspired design, First: Bottom-Up or solution based method, Second: Top-Down or problem based method. The authors used Top-Down or problem based method to find the article`s main question: How to design a sustainable self-growing and self-compacting structure which is cheap and uses minimum material. First there was problem of construction with minimum material usage and ecosystem damage, then human bone as an inspiring source was focused on, and abstracted form modeled by 3D printers can lead this basic prototype to industrial mass production. This article aims to find a solution for problem of over extracting materials from environment which is a factor of unsustainability in architecture and construction industry. It tries to discover the pattern of how structures optimize their material usage to build their selves. Natural structures extract needed materials from their context gradually, an example of these structures in nature is human bone that have balance between strength, weigh and material distribution. How to simulate this semi prefabricated, self-compacting and intelligent structure able to self-healing and self-destroying itself in essential parts and gradually extract material from its context environment grows and completes itself is the result of this article. The process of simulation from natural model to industrial sample is discussed in the main text. The process contains these steps: Discovering bone structure, Abstracting bone pattern, Simulating bone growth, and providing sediment phase. Bone structure can be simulated into two different ways. One of them is using random points as basic matrix and the other one is Voronoi pattern. Both of these methods can be modeled by Grasshopper plugin and Rhino software. After modeling abstracted Trabecular pattern as basic matrix, it can be made by 3D printers which use cheap and abundant material like sand. The basic sand matrix is put into over salinized water to become more and more compacted by time duration and salt sediments. The Piezoelectric property of the bone cells could be ignited by external forces is the basic cause of calcium ions absorption from bloodstream and calcium precipitation on bone matrix. Bone grows up according to the direction of the external force vectors. Simulation of this dynamic process in a smart structure that builds and destroys and repairs itself is proposed to use Quarts sensors which has the same piezoelectric feature and can simulate the behavior of bone calcium precipitation by making heat from the forces that have to bear and making heat as reaction. The material for process of structure growth is salt (sea salt). As the water of Persian Gulf or Lake Urmia is facing over salinization crisis, extracting salt from these over salty water and returning less salty water to its source can supply environmental sustainability of this kind of construction method. Manuscript profile -
Open Access Article
9 - Wind tunnel flow simulation and aerodynamic shape optimization of tall buildings to improve the drag coefficient under wind forces
Abdollah Baghaei Daemei seyed rahman eghbali Hossein Moez Payam BahramiAerodynamic behavior is an important characteristic of tall and ductile buildings, so aerodynamic design can play a key role in reducing the wind effects. A tall building response to wind can be controlled by application of aerodynamic improvements to building’s d MoreAerodynamic behavior is an important characteristic of tall and ductile buildings, so aerodynamic design can play a key role in reducing the wind effects. A tall building response to wind can be controlled by application of aerodynamic improvements to building’s design in order to manipulate the wind flow pattern and break the effective wind force acting on the structure. Traditionally the approach of structural engineers to mitigating wind loading and associated deflections and motions on tall buildings was to stiffen the building with the aim of increasing the natural frequency. Tall buildings are extremely sensitive to the wind. Thus, assessment of wind loads to design these buildings is essential. Monitoring the wind, which is forcing extraordinary tall buildings, is highly challenging. Due to increasing construction in recent decades, the study on wind flow over tall buildings has become a popular subject in theoretical research and applied engineering applications. By looking at recent constructions in Iran, it is obvious that despite the fact that constructing tall buildings is spreading, there is less concentration on environmental factors such as the wind’s aerodynamic. In tall buildings, aerodynamic behavior generally becomes important. The wind-induced building response of tall buildings can be reduced by means of aerodynamic from design and modifications that change the flow pattern around the building or break up the wind affecting the building face. Aerodynamic-based design can be divided into two types, “aerodynamic architectural design” and “aerodynamic architectural modifications” and their subgroups. The accurate estimation of the critical response parameters, such as top floor accelerations and displacements, is of fundamental importance when ensuring reliable designs of tall buildings. Methods to this end are typically set in a modal analysis framework and therefore require the estimation of the generalized forcing functions. Tall buildings are particularly prone to dynamic excitations such as those from natural disasters like strong winds and earthquakes, and this has become an especially important design issue. One way to minimize wind-induced vibrations of tall buildings is to focus more on their shapes in the design stage. Investigated aerodynamic forces and wind pressures acting on tall buildings with various unconventional configurations. The proposed of this research, investigation of aerodynamic shape optimization on tall buildings in order to reduce drag force. The aerodynamic forms such as a set-back, tapered and helical (twisted) and also aerodynamic modifications such as a chamfered corner, rounded corner and recessed corner to control and reduce wind forces and vortices on tall buildings are considered. On this basis, the study was carried out with numerical simulation of wind tunnel test on 29 building models. In order to construct 3D models, AutoCAD 2014 software was deployed and also to numerically simulate wind tunnel Autodesk Flow Design 2014 is used. Building samples were entered into the software via format FBX. The results showed that for a tall building with a triangular footprint and height of about 150 meters, base shape with chamfered corners of aerodynamic modification and tapered of aerodynamic form can have the best aerodynamic behavior against wind forces. Manuscript profile -
Open Access Article
10 - Investigating the Efficiency of Evolutionary Optimization Methods in Achieving Architectural and Construction Objectives
Maryam Sadeghian Akram HosseiniThe increasing popularity of the optimization approach in different sciences has led architects to use them tomachieve various objectives in designing and cons tructing buildings. However, the functions, advantages, and limitations for each of these optimization s MoreThe increasing popularity of the optimization approach in different sciences has led architects to use them tomachieve various objectives in designing and cons tructing buildings. However, the functions, advantages, and limitations for each of these optimization s trategies are scarcely known, due to their newness in architecture and cons truction fields Optimization algorithms are classified into three categories: determinis tic, heuris tic, and meta-heuris tic algorithms. Meta-heuris tic algorithms, are more efficient and categorized into three main groups: evolutionary computing, swarm intelligence, and physics-related algorithms. Mos t of the s tudies conducted on optimization algorithms, in this field, are on the application of one of the optimization algorithms in the design of a particular project. Limited research has been done in coordination with the subject of this s tudy, inves tigating the application of these algorithms in a specific field. After reviewing the his tory and literature of the subject, to discuss how optimization methods are used in architecture, 77 related articles and theses that used optimization methods have been reviewed through scholar works published since 1996 (the firs t publications in this field) up to now. Selected research was analyzed using the textual content analysis method to determine "the efficiency ofevolutionary optimization methods in achieving architectural and cons truction objectives" as the main research question; there were also several sub-ques tions on the way to answer the main ques tion: Which architectural objectives are mos t achievable by using optimization algorithms? Which types of optimization algorithms are appropriate for architectural objectives? Which building functions have the mos t potential for using optimization methods? Which researchers conduct and support the research of evolutionary algorithms in building issues? Optimization algorithms have been undertaken to solve design problems for six different objectives: mass design and urban access, cons truction and cos t management, building’s s tructural design, energy issues, building form generation and space planning. Various design variables have been defined to search for optimal response to each of the objectives. Among these objectives, the highes t application of optimization algorithms is related to spatial planning optimization in residential buildings and energy optimization in official ones. The analysis of the publications demons trates that various methods of meta-heuris tic optimization have been used over time to solve architectural problems. Genetic Algorithm is the mos t widely used one in architectural optimization, and particle swarm optimization is the mos t common method in swarm intelligence based research. The review of s tudies indicates the predominantly theoretical attention of architectural scholars to this issue. Given the dis tance between the research and the implementation phase, architects should work more closely with researchers in other fields, especially those in computer science, to approach the implementation s tage. However, the development of each of these areas requires the improvement of previous methods and research into how other algorithms, such as swarm intelligence based ones, can be used to solve design problems in architecture. The development of user-friendly software with a graphical user interface for a better grasp of the design process and results can affect architects' usage of evolutionary algorithms as a design method. Manuscript profile -
Open Access Article
11 - Land Use Planning Considering Sustainable Neighborhood Development, with Emphasis on Energy Efficiency ( Case Study: Daroos, Tehran)
Mohammad Mehdi Azizi Azadeh Gharaei Manuscript profile -
Open Access Article
12 - Sustainable Prefabricated Structure Design by Salt Sediment Inspired by Material Distribution Optimization of Human Trabecular Bone
Azin Jalali mahmoud golabchi -
Open Access Article
13 - A Method for AHP Fuzzy by Applying "Zade" Extension Principle
mohammad ali jahantighi reza kargarThe hierarchy analysis process is one of the most comprehensive systems designed for decision making with multiple criteria, since this technique provides the possibility of formulating the problem in a hierarchical manner, as well as the possibility of considering diff MoreThe hierarchy analysis process is one of the most comprehensive systems designed for decision making with multiple criteria, since this technique provides the possibility of formulating the problem in a hierarchical manner, as well as the possibility of considering different quantitative and qualitative criteria. The process involves various options in decision making and the ability to analyze the sensitivity of the criteria and sub-criteria. In addition, it is based on a paired comparison that facilitates judgment and computation. This model starts with the identification and prioritization of decision elements. These elements include goals, criteria and possible options, the process of identifying these elements and the relationship between them ultimately leads to the creation of a hierarchical structure. But in many cases, some or all of the data are fuzzy decision making, so it is necessary to consider uncertainty in such a decision model in the decision model. This article tries to take a fresh look at the issue of fuzzy hierarchy analysis. This view is influenced by the flaws in the fuzzy methods and group decision-making methods such as Delphi. Manuscript profile -
Open Access Article
14 - Design the bi-objective pharmaceutical supply chain network under uncertainty and considering the production, delivery, and drug perishable times
meisam Jafari-Eskandari Mehrdad Mokhtari Mohammad Abbasi fardIn this paper, a bi-objective pharmaceutical supply chain network under uncertainty demand and transportation costs is modeled and developed. To control the uncertainty parameters, the robust optimization method is considering. The main objective of this paper determine MoreIn this paper, a bi-objective pharmaceutical supply chain network under uncertainty demand and transportation costs is modeled and developed. To control the uncertainty parameters, the robust optimization method is considering. The main objective of this paper determines the number and location of potential facilities such as drug manufacture centers and drug distribution centers by considering the minimizing the total costs and minimizing the maximum unsatisfied demand for distribution of drugs to demand zones. In this paper, production time, delivery, and drug perishable time is also considered in modeling. To solve the model, an example is designed and the multi-decision TH method is used. The results obtained the model shows this method is effective in finding the Pareto front at the right time. The results obtained the model shows this method is effective in finding the Pareto front at the right time.The results obtained the model shows this method is effective in finding the Pareto front at the right time. Manuscript profile -
Open Access Article
15 - Sustainable closed-loop supply chain network design and operations planning considering human resource employment and training
R. Vakili Motie رضا Tavakkoli-Moghaddam A. Bozorgi-Amiri F. JolaiModeling and optimal solving of supply chain management problems lead to efficient decision making in strategic planning and supply chain operations, resulting in a competitive advantage. Today, with the planning of a sustainable supply chain, in addition to achieving e MoreModeling and optimal solving of supply chain management problems lead to efficient decision making in strategic planning and supply chain operations, resulting in a competitive advantage. Today, with the planning of a sustainable supply chain, in addition to achieving economic goals, it is possible to meet social and environmental objectives and considerations. This research deal with sustainable closed-loop supply chain network design and operations planning problem in which is human resource employment and training are considered. First, a three-objective optimization model is developed in which the supply chain network is designed and strategic variables (such as location and capacity determination, technology selection, skilled or semi-skilled employment and training, and etc.) are obtained. Then, a multi-period model is proposed supply chain operations planning in which the amount of production, inventory, shortage, temporary recruitment of manpower, etc. in each period are determined. In the proposed strategic model, a trade-off between the objectives of minimizing the cost of the supply chain (economic), maximizing employment (social), and minimizing environmental impacts is done by augmented epsilon constraint method. Also, Benders decomposition algorithm is used to solve large-scaled instances. In the final section of the research, some numerical studies are presented to provide numerical results, managerial insights and evaluating the performance of the proposed model and solution approaches. Manuscript profile -
Open Access Article
16 - An approach to find properly efficient solutions nearby ideal point in multi-objective optimization
Behnam Hozzar Ghasem Tohidi behrouz daneshianTrade-off between objective functions in multi-objective optimization is one of the tools for interpreting and studying efficient solutions. Properly efficient solutions are one of the most important theoretical and practical concepts that represent the behavior of the MoreTrade-off between objective functions in multi-objective optimization is one of the tools for interpreting and studying efficient solutions. Properly efficient solutions are one of the most important theoretical and practical concepts that represent the behavior of the objective functions during a process change. Actually, these solutions are those efficient solutions that filter the anomalies of objective functions at some points, and this will help the manager to decision making to choose more important solutions. One of the most important tools for obtaining solutions with bounded trade-off in multi-objective optimization field is the Sum weighted scalarization method, which many authors have been studying it in interactive optimization field. This paper provides a method for obtaining properly efficient solutions near the ideal point with a theoretical and interactive view and using Sum weighted scalarization method. Since being near to ideal point will be abele to a preference of decision maker; this method examines the preferences of the decision maker without sacrifice the theory. Therefore, this paper presents an approach to finding properly efficient solutions near to the ideal point. Manuscript profile -
Open Access Article
17 - Fuzzy Graph Coloring in Traffic Lights Problem
Yahya Talebi Rostami Siyamak Firouzian Ali Reza Moniri Hamzekolaee Mostafa Nouri JouybariGraph coloring is one of the issues that has been most noticed among combinatorial optimization issues. Many useful utility issues can be modeled as graph coloring issues. The general form of this application is to form a graph with nodes representing our favorite parts MoreGraph coloring is one of the issues that has been most noticed among combinatorial optimization issues. Many useful utility issues can be modeled as graph coloring issues. The general form of this application is to form a graph with nodes representing our favorite parts. The main problem of coloring the graph is the grouping of vertex graphs in small groups, so that no two heterogeneous vertices are in the same group. An important part of the application of graph coloring problem in management science is. The concept of traffic lights includes controlling the system of a traffic light so that a safe level of safety can be obtained. Modeling the problem of traffic lights has been proposed as a problem of assignment in combinatorial theory. This problem is also modeled as a graph coloring problem. In this paper, we have tried to model these problems in practical examples as the problem of staining the fuzzy graph and compare them with the proposed methods. Manuscript profile -
Open Access Article
18 - Non-smooth Optimality for Robust Multi-objective Optimization Problems
Maryam Saadati Morteza OveisihaThis article is concerned with non-smooth/nonconvex robust multi-objective optimization problems involving uncertain inequality and equality constraints. Employing some advanced tools of variational analysis such as the approximate extremal principle and the weak fuzzy MoreThis article is concerned with non-smooth/nonconvex robust multi-objective optimization problems involving uncertain inequality and equality constraints. Employing some advanced tools of variational analysis such as the approximate extremal principle and the weak fuzzy sum rule for the Frechet subdifferential, we first drive a fuzzy necessary optimality condition of a non-smooth/nonconvex multi-objective optimization problem without any constrained qualification in the sense of the Frechet subdifferential. Then by exploiting the obtained fuzzy optimality condition, the non-smooth version of Fermat’s rule and formulae for the limiting subdifferential of an infinite family of non-smooth functions, we establish a necessary optimality condition in terms of the limiting subdifferential for weakly robust efficient solutions of the reference problem. Further,we present an example to illustrate this condition for an uncertain multi-objective optimization problem involving equality and inequality constraints.Finally sufficient conditions for weakly robust efficient solutions and robust efficient solutions of the problems are provided by presenting new concepts of generalized convexity. Manuscript profile -
Open Access Article
19 - Modified ε-constraint method for bi-objective optimization: Reduce computational complexity and increase efficiency
Armin Ghane KanafiOne of the effective method for solving the multi-objective optimization problems is the ε-constraint method which, unlike the weighted sum method is able to find non-dominated points in non-convex parts of the non-dominated frontier. The main disadvantages of t MoreOne of the effective method for solving the multi-objective optimization problems is the ε-constraint method which, unlike the weighted sum method is able to find non-dominated points in non-convex parts of the non-dominated frontier. The main disadvantages of this method are finding similar non-dominated points for choosing different parameters and thus increasing the computational complexity of the algorithm and reducing its overall performance, which is not cost-effective in terms of time and cost. In this paper, a modified is made to ε-constraint method, which, due to the intelligence of the algorithm, the unnecessary areas that lead to the production of the same non-dominated points are eliminated from the beginning. Therefore, additional computational efforts are eliminated to produce the same non-dominated points. Discussions and details of the proposed method, with its algorithm, are presented and in the numerical examples section, the efficiency of the proposed method is compared with the ε-constraint method. Manuscript profile -
Open Access Article
20 - Measuring robust overall profit efficiency with uncertainty in input and output price vectors
M.A. Raayatpanah N. AghayiaThe classic overall profit needs precise information of inputs, outputs, inputs and outputs price vectors. In real word, all data are not certain. Therefore, in this case, stochastic and fuzzy methods use for measuring overall profit efficiency. These methods require mo MoreThe classic overall profit needs precise information of inputs, outputs, inputs and outputs price vectors. In real word, all data are not certain. Therefore, in this case, stochastic and fuzzy methods use for measuring overall profit efficiency. These methods require more information about the data such as probability distribution function or data membership function, which in some cases may not have sufficient information to estimate them, and only we have knowledge about the parameters so that they change in a convex space that is closed and bounded. Therefore, in this paper, we consider a budget uncertainty model in the robust optimization problem that able to adjust the conservative degree. The robust model by the input and output price vectors is proposed to compute overall profit efficiency measure. To illustrate the application of the proposed method, a numerical example is presented and the results show that the robust overall efficiency of the decision making units is higher than the optimistic model. Manuscript profile -
Open Access Article
21 - Utilizing Robust Data Envelopment Analysis Model for Measuring Efficiency of Stock, A case study: Tehran Stock Exchange
Pejman Peykani Emran Mohammadi Armin Jabbarzadeh Alireza JandaghianUncertainty is a prominent feature of real world problems and more especially financialmarkets; with this in mind, dealing with uncertainty becomes a necessary part of performanceevaluation by means of data envelopment analysis. This paper presents three robust dataenve MoreUncertainty is a prominent feature of real world problems and more especially financialmarkets; with this in mind, dealing with uncertainty becomes a necessary part of performanceevaluation by means of data envelopment analysis. This paper presents three robust dataenvelopment analysis (DEA) models and their application for performance evaluation inTehran Stock Exchange (TSE). Based on the results, the evaluated performance of stocks andthe number of efficient stocks is decreased in all three models by increasing the level ofuncertainty. Manuscript profile -
Open Access Article
22 - Three steps method for portfolio optimization by using Conditional Value at Risk measure
S. Navidi sh. Banihashemi M. SaneiComprehensive methods must be used for portfolio optimization. For this purpose, financial data of stock companies, inputs and outputs variable, the risk measure and investor’s preferences must be considered. By considering these items, we propose a method for por MoreComprehensive methods must be used for portfolio optimization. For this purpose, financial data of stock companies, inputs and outputs variable, the risk measure and investor’s preferences must be considered. By considering these items, we propose a method for portfolio optimization. In this paper, we used financial data of companies for screening the stock companies. We used Conditional Value at Risk (CVaR) as a risk measure, because of its advantages. Data Envelopment Analysis (DEA) can be used to calculate the efficiency of stock companies. Conventional DEA models assume non-negative data. However, many of these data take the negative value, therefore we propose the MeanSharp- CVaR (MSh CV) model and the Multi Objective MeanSharp- CVaR (MOMSh CV) model base on Range Directional Measure (RDM) that can take positive and negative values. By using Multi Objective Decision Making (MODM) model, investors can allocate their capital to the stocks of portfolio as they like. Finally, a numerical example of the purposed method is applied to Iran’s financial market. Manuscript profile -
Open Access Article
23 - Optimizing Product Combination in Continuous Production Companies
S. Savadkouhi F. Hosseinzadeh Lotfi M.r. Shahriyari M. Vaez-GhasemiThe optimum use of the upstream resources, production corresponding to the market demands, and structural constraints for the optimum production with the less wastes during the most rapid time required by the market which finally result in the more profit for the shareh MoreThe optimum use of the upstream resources, production corresponding to the market demands, and structural constraints for the optimum production with the less wastes during the most rapid time required by the market which finally result in the more profit for the shareholders are considered as the major objectives of this research. In this research, for the purpose of increasing the efficiency and optimum production, a model with a sequence proportional to the constraints of the problem is proposed by use of zero–one, integer programming based on the operational research science. The gained mathematical model is studied and verified with the actual data of Jam Polypropylene Co. and executed during monthly periods with one year planning horizon that the expected results of this research will realize during the term of study and assessment will result in increase of net profit, decrease in product storage, the faster responding the market demand corresponding to the profit of the company by taking the structural constraints of the factory and production into account. Manuscript profile -
Open Access Article
24 - Inverse Maximum Dynamic Flow Problem under the Sum-Type Weighted Hamming Distance
H. Banikhademi H. Salehi FathabadiInverse maximum flow (IMDF), is among the most important problems in the field ofdynamic network flow, which has been considered the Euclidean norms measure in previousresearches. However, recent studies have mainly focused on the inverse problems under theHamming dista MoreInverse maximum flow (IMDF), is among the most important problems in the field ofdynamic network flow, which has been considered the Euclidean norms measure in previousresearches. However, recent studies have mainly focused on the inverse problems under theHamming distance measure due to their practical and important applications. In this paper,we studies a general approach for handling the inverse maximum dynamic flow problemunder the weighted sum-type Hamming distance. We assume that a dynamic network flow,and a desired feasible dynamic flow on the network is given. We try to adjust the current arccapacity vector to maximize the dynamic flow and minimize the changes. The motivationfor this study stems from the Hamming distance that is made practically important in thesituation where we only care about the change, disregarding its magnitude. In this paper,first we prove some preliminary results, then we show that this problem (IMDF) can betransformed to a minimum dynamic cut problem. So, we proposed a combinatorialalgorithm for solving the IMDF in strongly polynomial time. Ultimately, the proposedalgorithm, is illustrated by a numerical example on a dynamic network. Manuscript profile -
Open Access Article
25 - Provide a robust planning model Possibility to select a stock portfolio based on Sharp ratio
Maghsoud Amiri Mohammad Saeed HeidaryPortfolio selection and asset management is one of the most important financial issues that seeks to distribute a specified budget over multiple time periods between available assets in such a way that the return of the portfolio is maximized and, at the same time, its MorePortfolio selection and asset management is one of the most important financial issues that seeks to distribute a specified budget over multiple time periods between available assets in such a way that the return of the portfolio is maximized and, at the same time, its risk does not exceed a certain amount. In this paper, we first propose a nonlinear mathematical programming model for Portfolio selection to maximize Sharpe ratios of stocks. Then, due to the uncertain nature of the input parameters of such a problem, a new robust possibilistic programming model has been developed, which is capable of adjusting the robust degree of output decisions to the uncertainty of the parameters. The proposed model was first tested and evaluated on 42 companies active in the Tehran stock market. In the end, the computational results of the proposed model show the high performance and the utility of the robust possibilistic programming model. Manuscript profile -
Open Access Article
26 - The role of Liquid-claims, free cash flow and capital structure in optimizing financial leverage (Case study: Iran's Capital Markets Banking Industry)
Masomeh Azarnia Abd-Almajid Dehghan Ali Nobari TabriziThe purpose of this research is to investigate the role of liquid-claim, free cash flow and capital structure in optimizing financial leverage in active banks in the Iranian capital market. The statistical sample of 10 banks accepted in the capital market, whose informa MoreThe purpose of this research is to investigate the role of liquid-claim, free cash flow and capital structure in optimizing financial leverage in active banks in the Iranian capital market. The statistical sample of 10 banks accepted in the capital market, whose information was available for the period from 2006 to 2016, were selected by systematic elimination method. The research carried out in terms of the target type is a part of applied research and the research method is correlated in terms of content and content. The research has been carried out within the framework of deductive-inductive arguments. For analyzing the hypotheses, a panel analysis has been used. The results show that there is a significant relationship between liquid-claim and financial leverage optimization, between capital structure and optimizing financial leverage, between free cash flow and optimizing financial leverage, and between credit risk of the bank and optimizing financial leverage, but There is no meaningful relationship between type of ownership and financial leverage optimization. Manuscript profile -
Open Access Article
27 - The Comparison of Genetic and Weed Algorithms in Portfolio Optimization
Majid Feshari Pooria MazaherifarIn this paper, Genetic and weed algorithms are used to solve constrained mean-semi variance portfolio problem. Then AR model and simple average are compared to predict expected return of stocks. 23 active stocks from June 22, 2014 to June 21, 2016 are used as our sample MoreIn this paper, Genetic and weed algorithms are used to solve constrained mean-semi variance portfolio problem. Then AR model and simple average are compared to predict expected return of stocks. 23 active stocks from June 22, 2014 to June 21, 2016 are used as our sample. The results indicate that, weed algorithm despite its longer time consuming has better performance than Genetic algorithm. And AR (2) model has more accurate prediction than simple average in predicting expected rate of return. Finally, we compare expected and real efficient frontier, the results indicate that, in lower risk, AR model has better prediction accuracy. So in that area, we can allocate our asset with higher certainty Manuscript profile -
Open Access Article
28 - A bi-objective portfolio rebalancing model for index traking problem under transaction costs and solving it using meta-heuristic algorithms
Amir abass Najafi Ehsan Fazeli SabzevarContinuous rebalancing and optimization of the portfolio in a way that always leads to tracking the index accurately is a complex issue. Moreover, considering the transactional costs are inevitable. This paper proposes a model for optimization of the index tracking prob MoreContinuous rebalancing and optimization of the portfolio in a way that always leads to tracking the index accurately is a complex issue. Moreover, considering the transactional costs are inevitable. This paper proposes a model for optimization of the index tracking problem and a solution based on Genetic Algorithm. The proposed model is a bi-objective model that is aimed to minimize the tracking error and transactional costs. Due to complexity of the model, the Non-dominated Sorting Genetic Algorithm and the Non-Dominated ranked Genetic Algorithm are used and evaluated to solve the model. The basic metals Index of Tehran Stock Exchange at the year of 2012 is used in this research as the desired index for tracking and rebalancing. Manuscript profile -
Open Access Article
29 - Predicting negative stock price shocks based on the Meta heuristic approach
Ebrahim fadaei iman dadashi Mohammad javad zare bahnamiri kaveh azinfarAccording to capital market research, the negative shock of stock price in any market is a function of environmental factors and specific characteristics of the company and any insight into how to describe and predict the shock can influence the decisions of investors a MoreAccording to capital market research, the negative shock of stock price in any market is a function of environmental factors and specific characteristics of the company and any insight into how to describe and predict the shock can influence the decisions of investors and stakeholders. In this study, based on the data related to 96 financial ratios of 140 companies listed on the Tehran Stock Exchange during a period of 9 years between 2010 and 3012, we have predicted a negative shock of stock price based on the meta-heuristic approach. In this research, in order to extract the optimal financial ratios, genetic algorithms and particle swarm optimization have been used. The proposed model is then tested using these extracted features by a support vector machine with a radial core and an artificial neural network. The results showed that the variables extracted from the particle swarm optimization algorithm, together with the support vector machine learning algorithm, create better results for predicting shocks (temporary and permanent) and their number. Manuscript profile -
Open Access Article
30 - The comparison of neural network, ANFIS and AR model in expected return prediction and comparison of memetic and symbiotic organism search in constrained portfolio optimization
Sayyed Mahdi Rezaei Mahmoud Baghjari Pooria MazaherifarIn this paper, Symbiotic organism search and memetic algorithms are used to solve constrained mean-semi variance portfolio problem. Then AR model, Neural network and ANFIS are compared to predict expected return of stocks. 23 active stocks from June 22, 2014 to Jan 21, MoreIn this paper, Symbiotic organism search and memetic algorithms are used to solve constrained mean-semi variance portfolio problem. Then AR model, Neural network and ANFIS are compared to predict expected return of stocks. 23 active stocks from June 22, 2014 to Jan 21, 2016 are used as our sample. The results indicate that, memetic algorithm despite its longer time consuming has better performance than SOS algorithm. And ANFIS has more accurate prediction than others in predicting expected rate of return. Finally, we compare expected and real efficient frontier, the results indicate that, in lower risk, ANFIS has better prediction accuracy. So in that area, we can allocate our asset with higher certainty. Manuscript profile -
Open Access Article
31 - Select the optimum stock portfolio investment based on canonical correlation analysis for member firms of Tehran Stock Exchange
Saeid Aghasi Ehsan Aghasi Sahar BiglariIn recent years, financial markets, and especially the capital market has been a significant expansion in the international and country levels and sudden changes in economic behavior and perception of investors of the market situation affected. The main problem in choos MoreIn recent years, financial markets, and especially the capital market has been a significant expansion in the international and country levels and sudden changes in economic behavior and perception of investors of the market situation affected. The main problem in choosing the optimal portfolio optimization assets and securities that can be provided with a certain amount of capital. Although minimize risk and maximize return on investment comes in plain view, but in practice has been used several approaches to portfolio optimization.In this study, to determine the optimal portfolio based on canonical correlation analysis on companies active in the Tehran Stock Exchange during the year 1394 were discussed. Methods cross-sectional study of a sample of 42 companies included in the index returns daily adjustment of the top 50 companies in the period is three months. Based on canonical correlation analysis showed, 42 samples in the form of two pairs of canonical variables, each linear combinations of the daily rates of return were, were adjusted and petrochemical allocated and the remaining 155 units will be assigned in other industries desired. Manuscript profile -
Open Access Article
32 - An Investigation of Iran’s National Gas Company Advertisements’ Effectiveness in Optimizing Consumption
A. A. Farhangi M. Firooziyan A. MoosavianNowadays, advertisements as marketing tools try to create a logical relationship between customers’ needs and corporations’ goals. Therefore, the coordination between demand and supply is one of the most important functions of advertisements.& MoreNowadays, advertisements as marketing tools try to create a logical relationship between customers’ needs and corporations’ goals. Therefore, the coordination between demand and supply is one of the most important functions of advertisements. Iran’s national gas company has tried to form the right consumption behavior among consumers through creating an appropriate culture. One of the goals of Iran’s national gas company is to optimize consumption; therefore, it has used television advertisements widely. How much it has fulfilled its goals is the main subject of this article. In this study, we have tried to investigate the overall effectiveness of these programs, and the success of each advertisement presented through winter of 2008 through one advertisement’s effectiveness model. To do this, we chose the research sample among house gas consumers in Tehran and gathered the data through questionnaires. The findings show that although some TV advertisements succeeded, they have not changed the consumption models as desired. Manuscript profile -
Open Access Article
33 - استفاده از روش مونت کارلو و یک رویکرد مدلسازی-بهینه سازی جدید در مطالعه QSAR داروهای اتوپوزید
Asghar Alizadehdakhel robabeh sayyadikordabadi Ghasem Ghasemi Babak Motaharyاستفاده از روش مونت کارلو و یک رویکرد مدلسازی-بهینه سازی جدید در مطالعه QSAR داروهای اتوپوزیداستفاده از روش مونت کارلو و یک رویکرد مدلسازی-بهینه سازی جدید در مطالعه QSAR داروهای اتوپوزید Manuscript profile -
Open Access Article
34 - Presenting a multi-objective model for locating warehouses through particle swarm optimization algorithm in Artaville Tire
Hojatolah Derakhshan Hasan Mehrmanesh Arefe FadaviThis research has been written with the aim of presenting a multi-objective model for locating warehouses through the particle swarm optimization algorithm in Artaville Tire Company. The present study is applied in terms of purpose and in terms of the nature of research MoreThis research has been written with the aim of presenting a multi-objective model for locating warehouses through the particle swarm optimization algorithm in Artaville Tire Company. The present study is applied in terms of purpose and in terms of the nature of research and data collection is a survey and descriptive branch. Data collection tools are documents, documents and interviews with experts. Also, considering that the research seeks to locate the warehouse using the particle swarm optimization algorithm, the research is of a predictive type. Given that this problem falls into the category of Hard-PN problems, a supra-innovative method based on the particle swarm optimization algorithm is used to solve it. To evaluate the performance of the proposed algorithm, two particle group optimization algorithms and genetics have been used as benchmark algorithms. The proposed algorithms and particle group optimization are implemented in 7.5 Matlab programming environment and the genetic algorithm is implemented using Matlab 7.5 software toolbox. According to the results of this study, it was found that the use of particle swarm algorithm to solve the problem of vehicle routing can improve the amount of objective function as well as the total number of routes traveled by vehicles. Manuscript profile -
Open Access Article
35 - Multi-Objective Optimization of Window Configuration to Provide Integrated Visual Comfort Components and Energy Efficiency by the Genetic Algorithm (The Case Study: Primary School Classroom in Tehran- Iran)
majid mofidishemirani firoozeh mohammadiMoving towards sustainable buildings requires more emphasis on accurate assessment of daylighting and energy performance. This is particularly important for educational buildings, because providing sufficient light while preventing the glare and reducing energy consumpt MoreMoving towards sustainable buildings requires more emphasis on accurate assessment of daylighting and energy performance. This is particularly important for educational buildings, because providing sufficient light while preventing the glare and reducing energy consumption in these spaces is a major challenge. In this article the main purpose is the optimized design of window configuration in terms of daylighting and energy performance in educational buildings (primary school classroom) in Tehran city to provide integrated visual comfort components (increase illuminance and decrease glare) and energy efficiency (reduced overall energy consumption). In the process of achieving this purpose the basic models of the South classroom were modeled parametricly by Grasshopper and dynamic simulation of daylight and energy was performed on them. Then simulation-based automated optimization process through the Genetic algorithm was accomplished in multi-objective.The results indicated that adjustment of the conditions with a higher weight for daylighting performance is necessary. The best Pareto solution, based on the minimum distance to the global optimum performs better than base model, indicating that improvements in UDI, DGP, and EUI purpose are 11, 15, and 22 percent respectively. Manuscript profile -
Open Access Article
36 - Determination of optimum level of land use and biological measures to reduce erosion and sediment (case study: watershed saqqezchi, ardebil province)
ابوالفضل معینی masoome najafi sani shiva mohammadian khorasani sepideh mofidiNowadays, Soil erosion is one of the largest problems of the world, particularly in Iran. side effects and dangersof this phenomenon within the watershed field is the main problem that affected the overall ecological balance ofthe basin. The main objective of this study MoreNowadays, Soil erosion is one of the largest problems of the world, particularly in Iran. side effects and dangersof this phenomenon within the watershed field is the main problem that affected the overall ecological balance ofthe basin. The main objective of this study was to determine the optimal level land use for reducing erosion andenhance stakeholders income at Saghezchi watershed is located in the Ardebil. For this aim, linear programmingmodel for three different options include current situation land uses, standard land use and standard conditionswith biological measures land use in accordance with scientific principles and criteria were used. The resultsshowed that the current land use level to reduce erosion and increase the income of residents is not suitable andin optimal conditions must be changed. in optimal conditions the garden lands level from 132.29 hectare to1902.83 hectare (1438.4 % increased), rangeland level without change, irrigated land surface from 319.94hectare to 57.6 (81.99% decrease) and rainfed cultivation is also from 1549 hectare to 40.8 hectare (97.36%decrease) was changed. In addition, the results showed that land use optimization in the current situation, Theratio of soil erosion and total profitability, 0.07% decrease and 7.7% increase respectively, at the standardconditions land use 3.72% decrease, 7.7% increase respectively and at the standard conditions with biologicalmeasures land use, The ratio of soil erosion and total profitability, 5.48% decrease and 30.65% is increasedrespectively. Manuscript profile -
Open Access Article
37 - Hydraulic analysis of sprinkler irrigation network using WaterGEMS software
Younes Shokrian-Fard Shahram Shahmohammadi KalalaghIn this research, sprinkler irrigation network of Sysan area located in Bostanabad city in Azarbayjan Province was analyzed using WaterGEMS software. This irrigation network based on the position of the main, sub-main and lateral pipes divided into three A, B, and C zon MoreIn this research, sprinkler irrigation network of Sysan area located in Bostanabad city in Azarbayjan Province was analyzed using WaterGEMS software. This irrigation network based on the position of the main, sub-main and lateral pipes divided into three A, B, and C zones and with regard to irrigation interval, the number of sets and sprinklers, 9 scenarios were defined. Hydraulic parameters (pressure and velocity) were analyzed in the nodes and the pipes before and after optimization with WaterGEMS, respectively. The hydraulic analysis indicated; based on the required pressure of the sprinkler operation (40 m-H2O) and the maximum supply pressure of the selective pump (70 m-H2O), there was no problem or limitation in supplying the network pressure. In the other words, the pressure aligned with standards. While according to permissible velocity in the sprinkler irrigation pipes, the critical velocities were observed in 4 scenarios in zone B and in 5 scenarios in zone C. By applying the necessary changes in the diameter of the pipes and provided that the pressure variations aligns with standards (less than 20%), the velocities were optimized and aligned with standards. Given that the hydraulic parameters were optimized by decreasing pipe diameter, the optimally designed system with WaterGEMS software led to a decrease of 7.3% in costs compared to the designed and implemented system. Manuscript profile -
Open Access Article
38 - Location of well drilling using PSO and AHP algorithms ( Case Study: Mashhad plain)
masuod abdi hossein ebrahimi abolfazl akbarpurDetermining the optimal number of required wells and pumping flow and selecting the place of drilling wells to meet the water needs of different uses is one of the important issues of water resources management in arid and semi-arid regions.The results showed that chang MoreDetermining the optimal number of required wells and pumping flow and selecting the place of drilling wells to meet the water needs of different uses is one of the important issues of water resources management in arid and semi-arid regions.The results showed that changing the coordinates of wells due to the variable thickness of the aquifer and also different water quality in different areas, will affect the cost of extraction and water treatment, respectively, and on the other hand, the distance from the place of consumption will increase the cost of transmission Changing the pumping flow of wells will also affect the energy consumption of the pump in the process of water extraction and transfer. Based on the results, the cost of the optimal design has been reduced by about 10% compared to the existing design. The results showed that water level drop and groundwater quality had the highest weight coefficient.Also, the areas that had the most drop, the best water quality, the shortest distance and the lowest height to the place of consumption, had the highest weight coefficient and the areas that had the lowest drop, The average annual drop in water level in this area varies from 1.13 to 0.3 meters. There are 422 deep wells in this area, about 60 of which have a discharge of more than 20 liters per second and are a good option for replacing the city's drinking water supply wells. Manuscript profile -
Open Access Article
39 - Evaluation of the Effects of Osmotic Dehydration Pretreatment at Low Pressure on Texture, Colour and Oil Absorption of Vacuum Fried Kiwi Slices
Fateme Aghabozorgi Afge Alireza Basiri Abdol Reza Mohamadi NafchiIntroduction: Vacuum osmotic dehydration is one of the methods of preservation of fruits and vegetable. The aim of this work is the evaluation of the effects of variables in osmotic dehydration process (ambient pressure, contact time of product and solution, concentrati MoreIntroduction: Vacuum osmotic dehydration is one of the methods of preservation of fruits and vegetable. The aim of this work is the evaluation of the effects of variables in osmotic dehydration process (ambient pressure, contact time of product and solution, concentration and temperature of osmotic solution) on the quality factors of product (colour changes, texture, oil uptake) and finally achieving the optimum process conditions. Materials and Methods: A laboratory scale osmotic dehydration equipment including anaerobic jar, grid basket, vacuum pump, barometer and thermometer were used. The temperature range for osmotic solution (30 – 50° C), pressure (500-700 mbar), concentration of the osmotic solution (30- 50%) and contact time (60- 180 min) were employed. The test plans involving 31 tests were obtained by using response surface statistical models. The frying was carried out at 108ºC for 8 min and 320 mbar. Results: The optimum conditions of 48.71ºC for the osmotic solution temperature, 592.07 mbar for the pressure, 62.92 min for the time and 34.87% for the osmotic solution concentration were obtained. By applying the mentioned optimum conditions, the colour changes, oil absorption (g/100g) dry basis and texture (N/m) were found to be, 13.63, 14.82 and 2.78 respectively. Conclusion: The result showed that by increasing the osmotic solution temperature, texture rigidity is decreased and colour changes is increased. Colour changes, oil absorption and texture rigidity are decreased with increased osmotic solution concentration. Manuscript profile -
Open Access Article
40 - Synthesis, Optimization and Modeling of Curdlan Gum Production from Paenibacillus polymyxaUsing Response Surface Methodology (RSM)
S.M. Rafigh M. Vossoughi A. Vaziri A.A. Safekordi M. ArdjomandIntroduction: Curdlan gum is a bacterial polysaccharidic biopolymer that is the result of β-(1→3)-D-glycosidic linkages. Due to its ability to curdle and the water-holding capacity, curdlan has applications in the manufacture of food products such as jelly, no MoreIntroduction: Curdlan gum is a bacterial polysaccharidic biopolymer that is the result of β-(1→3)-D-glycosidic linkages. Due to its ability to curdle and the water-holding capacity, curdlan has applications in the manufacture of food products such as jelly, noodles, edible fibers. Curdlan is biodegradable, nontoxic and it has applications in the pharmaceutical industry because of its potent biological activities. For the first time, the present study is concerned with the synthesis, characterization, optimization of cultural conditions and modeling of curdlan production from Paenibacillus polymyxa using RSM. Materials and Methods: After preparation of the microorganism and the medium, Plackett–Burman design with 12 experimental runs was used to screen the effective factors through 11 variables of batch culture medium for curdlan production. Central composite design with 20 experimental runs was used for optimization of the effective variables. In addition, four characterization methods such as FT-IR, C-NMR, XRD and DSC were employed. Results: The result of the experiments showed that three nutritional factors (glucose, yeast extract and triton x-100) had the predominant effect on curdlan production. The maximum production of curdlan was 4.75 g/l from the optimum condition consisting of glucose (100 g/l), yeast extract (3 g/l) and triton x-100(2.5 g/l). In addition, the average molecular weight of curdlan was determined at 170 kDa by GPC. Conclusion: The results from this study have demonstrated that Paenibacillus polymyxa PTCC 1020 with more specific growth rate (µ) than previous studies is capable to produce curdlan gum and also the production of the synthetic curdlan was confirmed using qualitative methods of identification. Manuscript profile -
Open Access Article
41 - Process Optimization in Vacuum Frying of Green Bean Slices Using Response Surface Methodology
M. Nikkhah Eshghi B. Ghiassi Tarzi A. R. BasiriIntroduction: Vacuum frying is a new technology that might be useful for producing newkind of snacks such as fruit and vegetable chips. The reason for this technology is to reducethe presence of oxygen and lower the processing temperature. The aim of this work is todete MoreIntroduction: Vacuum frying is a new technology that might be useful for producing newkind of snacks such as fruit and vegetable chips. The reason for this technology is to reducethe presence of oxygen and lower the processing temperature. The aim of this work is todetermine the effect of process parameters namely time, pressure, temperature on the specificcharacteristics of green bean in order to achieve the optimal processing condition.Materials and Methods: In this research, samples were processed in predeterminedtemperatures, pressures and times by using statistical response procedures. The effects offrying time and temperature and pressure on reduction of moisture, oil absorption, shrinkage,texture, and color were studied.Results: The optimum conditions of 119.13oC for the temperature, 285 mbar for the pressureand 14.63 min for the time were obtained. The results showed that the time of the exposure tofrying has a direct and significant relation to vacuum pressure and the samples moisture levelis related to frying time and the moisture of the sample is significantly reduced (p<0.05) byincreasing the frying time. Oil absorption level has a significant relation with temperature andtime (p<0.01).Conclusion :The results indicated that vacuum frying can improve the nutritional quality ofthe food with reduced cost and avoid the loss and wastage of the product. Manuscript profile -
Open Access Article
42 - Optimizing energy consumption in the building sector using neural networks and PSO algorithms (Case study: Bandar Abbas city)
fakhri allahyari Azita Behbahaninia Hossein Rahami Maryam Farahani Samira KhadiviBackground and Objective: Energy consumption in buildings accounts for one third of the country's annual energy consumption, so it is important to provide solutions that can reduce energy consumption in this sector.Material and Methodology: Using questionnaires and expe MoreBackground and Objective: Energy consumption in buildings accounts for one third of the country's annual energy consumption, so it is important to provide solutions that can reduce energy consumption in this sector.Material and Methodology: Using questionnaires and experts’ opinions, effective parameters in energy optimization in Construction Engineering Organization of Bandar Abbas were identified. Variables such as wall and ceiling material, area and type of windows, wall and ceiling insulation thickness were selected. Different modes were investigated with Design Builder software. By training two separate neural networks, how the inputs are connected to two important outputs, which is the amount of energy and carbon dioxide, was obtained. And optimization was performed using the PSO algorithm.Findings: In the obtained model, brick wall with insulation thickness of 5cm, beam roof with insulation thickness of 5cm, triple glazing, ratio of north and east windows to wall in the same direction 70%, ratio of south window to south wall between 41 to 43 percent and the ratio of the west window to the west wall is between 65 to 67 percent, in which the amount of energy and carbon dioxide is the minimum.Discussion and Conclusion: If the energy is selected as target function, the results obtained from the PSO are closely consistent with the optimization results for when the target function is the amount of carbon dioxide. These two functions are in line with each other, and optimizing one will lead to optimizing the other. Manuscript profile -
Open Access Article
43 - Evaluation and Optimization of Waste Collection and Transportation System in Urmia by Combining the Response Surface and Artificial Neural Network
Saeid JafarzadehGhoushchi Shabnam Hamidi- MoghaddamBackground and Objective: Optimization of urban waste collection and transportation system has the largest part of waste management costs. Therefore, improving this system and reducing its operating costs as a necessity in urban waste management has always been consider MoreBackground and Objective: Optimization of urban waste collection and transportation system has the largest part of waste management costs. Therefore, improving this system and reducing its operating costs as a necessity in urban waste management has always been considered. Method: Due to the high volatility, changes in the size of the waste, climate change and demographic and substructure tissue, the use of artificial neural network system (ANN) is a suitable method for predicting the production waste size, and on the other hand, for The optimization of the management system of these wastes is also used by the surface response method (RSM). Findings The results of this combined method show that the best combination of factors affecting urban waste transport system was proposed by RSM considering the largest loaded pack with about 26 workers, 10 pickups and 6 trucks. This combination is capable of carrying around 34836 tons of cargo at a cost of 596696000 Rials, which represents a high efficiency over actual values. Also, to predict load, the back propagation algorithm (BP) with 9 neurons in the hidden layer was selected as the best model with a predictive power of 99/19% in prediction of weight and 96/62% in cost prediction. Discussion and Conclusion: The results showed that using the combination of two methods of surface response as a statistical method and artificial neural network as a mathematical method, we can find suitable results for evaluation and optimization of waste collection and transportation system. Manuscript profile -
Open Access Article
44 - Providing a Building Optimization Model to Counter the Negative Effects of Climate Change to Reduce Energy Consumption
Arda Zarei Sina Fard MoradiniaBackground and Objective: Today, metropolises play a very important role in environmental pollution, increasing population is associated with increasing consumption of fossil fuels and energy resources, which increases greenhouse gas emissions into the atmosphere. The e MoreBackground and Objective: Today, metropolises play a very important role in environmental pollution, increasing population is associated with increasing consumption of fossil fuels and energy resources, which increases greenhouse gas emissions into the atmosphere. The effects of increasing greenhouse gases with the occurrence of greenhouse phenomena cause climate change. Due to the high energy loss in residential buildings, The purpose of this study is to select an appropriate solution to optimize the building and reduce energy consumption in this sector. Material and Methodology: In this research, first, the annual energy consumption of a type of 8-storey residential building in Tabriz was simulated using Energy Plus software. Then, the annual energy consumption of the building was simulated with the weather conditions of two different climates of Yazd and Rasht to compare the energy consumption of the building in all 3 cities. Then, with JePlus simulation software, the energy consumption of different building modes (orientation, position, temperature, climate) was simulated in all 3 cities to study the behavior of the building in terms of energy consumption. Finally, the amount of heating and cooling energy consumption of the building was selected as the target functions and optimized by JePlus + EA software. Findings: According to the variables defined in the input of JePlus software, 432 energy consumption modes were obtained for the building. And according to the selection of heating and cooling energy consumption of the building as target functions, optimization was done by JePlus + EA software. The optimization results showed that according to the same parameters considered for all three climates, building energy consumption in Rasht has decreased by 16%, Yazd by 14% and Tabriz by 12%. Discussion and Conclusion: The results showed that if the building is built in the right direction and position according to the type of climate and weather conditions (for sunlight, temperature, humidity, etc.) and the heating and cooling temperature inside the building is set to comfort, The energy consumption of the building is also significantly reduced As a result, the share of each building in the amount of carbon dioxide emissions into the atmosphere, which is the most effective gas in climate change, is reduced. Manuscript profile -
Open Access Article
45 - Evaluation of Coagulation and Flocculation Process in Removal of Heavy Metals from Chemical Wastewater of Mobarakeh Steel Complex
Masoud Taheriyoun Alireza MemaripourBackground and Objective: Wastewater from the steel industry as one of the heavy metal pollution sources plays an important role in environmental pollution. Therefore, the optimal treatment and removal of these pollutants are very important to protect the environment an MoreBackground and Objective: Wastewater from the steel industry as one of the heavy metal pollution sources plays an important role in environmental pollution. Therefore, the optimal treatment and removal of these pollutants are very important to protect the environment and achieve discharge standards. In the Mobarakeh Steel Complex, wastewater is produced during the production of galvanized steel and tin-plated steel, containing high concentrations of ferrous and chromium metals. In this study, the efficiency of the coagulation and flocculation process in removing these metals from the wastewater of Mobarakeh Steel chemical treatment plant is investigated. Method: To design the experiments, the central composite design method, which is the most common design type in response surface methodology (RSM), is used. The variables studied in this study are four factors of pH, inlet turbidity, coagulant and coagulant aid concentrations that each is studied at five levels. For each of the studied metals, a regression model of removal percentage is obtained based on the effective factors. Findings: Results of the modeling stage shows that pH is the most effective factor on the effluent iron concentration and inlet turbidity is the most effective factor on chromium percent removal. The optimization results show the optimum coagulant dose (ferric chloride) 397 mg/L, coagulant aid concentration (polyelectrolyte) 0.06 mg/L, optimum pH of 10.25 and optimum inlet turbidity of 103 NTU. Discussion & Conclusion: RSM is an effective method in experimental design that by developing a second-order regression model of the coagulation-flocculation process, it is possible to predict different operating conditions and simultaneous effect of factors on the response. Manuscript profile -
Open Access Article
46 - Development of spatiol network for optimal routing of BRT lines
Zahra Abbasi aliasghar alesheikh saeed behzadi hossein aghamohammadiBackground and Objective: Numerous routing methods of public transportation systems have been designed. The main challenge of optimum routing of urban public transportation systems is defined as the determination of the optimal locations of the stations and the rou MoreBackground and Objective: Numerous routing methods of public transportation systems have been designed. The main challenge of optimum routing of urban public transportation systems is defined as the determination of the optimal locations of the stations and the routh lengths in a city. Method: To address the challeng designers are confronted with a wide range of criteria, among which cost, time and coathing are the most important ones. In this paper, routing optimization for a configuration of 9 bus lines in one of the Tehran districts was implemented. In order to optimize the bus routes, the origin and destination of each line were considered fixed and the intermediate routes were optimized. Eight factors consisting of: road capacity (LOS), land use, pavement status, crossing line width, components of road cross sections, population density and length of each edge (Arc) were selected for optimization process. According to the importance of each factor for routing, a special weighting coefficient were assigned to each criteria. After implementating Dijkstra algorithm, the routes of 5 bus lines must be changed. The line direction changing subsequently caused to new stations allocation requirement. Findings: After determining the allocation criteria and creating corresponding layers, 16 new stations were allocated. Finally, the proposed routes between these stations were identified. Discussion and Conclusion: One of the most important aspects of innovation in this study is the use of GIS capabilities to provide novel solutions for optimal routing of BRT lines. Manuscript profile -
Open Access Article
47 - Optimization of rectangular secondary sedimentation tanks inlet (Case study: Tehran Wastewater Treatment Plant)
Akbar Akbarpour Alireza MardookhpourBackground and Objective: One of the most important parts of treatment plants is the sedimentation tanks in them, which play an important role in wastewater treatment. Due to this issue, a correct understanding of the behavior of sediment reservoirs is essential for the MoreBackground and Objective: One of the most important parts of treatment plants is the sedimentation tanks in them, which play an important role in wastewater treatment. Due to this issue, a correct understanding of the behavior of sediment reservoirs is essential for the design and operation of reservoirs. Therefore, it is not far-fetched that engineers are thinking of designing new tanks as best as possible and improving their efficiency. In order to achieve these goals, various methods have been proposed, among which improving the efficiency of reservoirs by changing the geometry in the reservoir is not only important but also an economic method and attracts the opinion of engineers from different aspects. Has attracted.Material and Methodology: The studied model has been removed from the existing wastewater treatment plant in Tehran. In the basic paper, different inputs of flow to the sedimentation pond are analyzed and by comparing the efficiency of different inputs, a specific input is presented as a suggestion. In the present study, the same inlet and reservoir will be used and by adding the sediment parameter as a new parameter, the hydraulic and flow and sedimentation characteristics in the said reservoir will be determined. It is 13 meters wide and 4/4 high. In order to observe the distribution of suspended solids during the settling process, the water in the reservoir at the beginning of the process is free of sediment (clear) and then with the entry of wastewater containing suspended solids, the method of releasing suspended solids and then settling of solids can be Observed in full.Findings: In the model at the entry points, distances of 10, 20 and ... to 60 (output overflow) by creating virtual sensors, flow parameters were used to produce and analyze comparative graphs. The findings indicate that time The analysis is in accordance with the residence time of the regulation is 6500 seconds, which in the range of about 800 to 1000 seconds of analysis (16 minutes) the flow and movement conditions of sediments are balanced and is constant until the end of the residence timeDiscussion and Conclusion: The results show that the contour particles of sediment particles in the reservoir are at times 50, 300, 500 and 1000, respectively. After 1000 seconds to 6500 seconds, the situation is completely stabilized and there is no change in the contours compared to 1000 seconds. On the other hand, the amount of suspended solids in wastewater decreases by moving downstream and reaches zero within 10 meters of the end, which indicates the complete removal of suspended solids in the sedimentation process. The results also show that the most turbulent energy is at the outlet at a distance of 10 meters from the inlet, which is due to the eddy current and rotation in this area. By moving downstream, the turbulence current decreases and at a point 10 meters from the outlet is close to zero, which indicates the correct operation of the tank. Manuscript profile -
Open Access Article
48 - Reducing Building Energy Consumption by Roof Envelope Optimization (Case Study: Three Floor Residential Building, Shiraz, Iran)
khosro movahed parinaz keshtkaran zahra Barzegar marvastiBackground and Objective: Among the components of the building envelope, the roof section is the most important medium of energy loss, because, compared to vertical walls, a larger area of the rooftop is exposed to sunlight and atmospheric condition for a longer period, MoreBackground and Objective: Among the components of the building envelope, the roof section is the most important medium of energy loss, because, compared to vertical walls, a larger area of the rooftop is exposed to sunlight and atmospheric condition for a longer period, which results in greater heat exchange through this section. The goal of this research is to reduce the energy consumption of residential buildings in the city of Shiraz (Fars, Iran) through the optimization of their roof sections by answering the bellow question: “What is the most optimal arrangement of materials and passive roof design technique for reducing energy consumption in this climate and how much will it reduce energy consumption?” Material and Methodology: The purpose of the research, which is to identify the best combination of roof specifications and passive design methods for minimizing energy consumption in the buildings of the area of interest, achieved with help of the EnergyPlus simulation and a genetic algorithm developed in MATLAB. Findings: The roof variables defined in three categories of the passive energy system, physical roof specifications, and positioning and the optimization carried out using the genetic algorithm and the EnergyPlus software. Discussion and Conclusion: The outputs obtained from the simulation software and the objective function of the genetic algorithm showed that the roof optimization materials’ arrangement could reduce the energy consumption of the building by 9.6%. and passive design techniques includes: green roof, insulation, double roof, reduce energy consumption by 9.1% , 13.4%, 12,6% respectively. Manuscript profile -
Open Access Article
49 - 2
Faride Atabi Hossein Ghadamian Mohammad Khodadadi -
Open Access Article
50 - Optimization model for production productivity considering the external costs of Co2 emission in the kiln Department of cement factory (case study)
Ahmad Naghiloo Sajjad Emami Ata chitsaz khoie Mohammad FathalilooIntroduction: Cement factories are highly energy- and cost-intensive industries. Energy consumption in thecement industry is in the form of fossil energy carriers such as natural gas and fuel oil that are major sources ofCo2 emissions. Since carbon dioxide emission from MoreIntroduction: Cement factories are highly energy- and cost-intensive industries. Energy consumption in thecement industry is in the form of fossil energy carriers such as natural gas and fuel oil that are major sources ofCo2 emissions. Since carbon dioxide emission from cement manufacturing has a high percentage of the total Co2production in the world, there is a high potential for controlling and reducing Co2 emission.Materials & Methods: In this paper, the theory of microeconomics firm was used to present a model foroptimal production productivity considering the external costs of Co2 production in cement industry. To showthe effect of Co2 emission in the model, Co2 emissions is considered as a function of energy consumption andthen added to the set of constraints.Results & Discussion: Eventually by solving the presented model by an advanced mathematical programmingnamed GAMS software, Co2 emission is reduced by 15% and total annual cost is reduced by 6% which areremarkable. Manuscript profile -
Open Access Article
51 - 6
نسترن رحیمی -
Open Access Article
52 - 5
سیامک بوداقپور سیداحمد میرباقری امید میرزا فشمی -
Open Access Article
53 - Designing an algorithm regarding energy auditing software guideline for residential buildings
Mojtaba Rezaeian Bajgiran Mohsen KahromIntroduction:Implementation of energy auditing in buildings with different applications is one of the issues whichhas been attracted a considerable attention as a way for saving energy and reducing energyconsumption. Auditing in any kind of application, including in res MoreIntroduction:Implementation of energy auditing in buildings with different applications is one of the issues whichhas been attracted a considerable attention as a way for saving energy and reducing energyconsumption. Auditing in any kind of application, including in residential buildings, needs its ownspecific methods. Since the technology employed for energy consumption in buildings is differentamong the countries, to propose a national implementation method it is essential to provide a specificguideline which suits Iran's conditions.Material and Method:Energy auditing has been performed in different industrial and educational institutes during the lastyears and it is not a new concept. Moreover, there are some available guidelines for it. The purpose ofthis paper is to provide a software checklist to enable the users to utilize it step by step in residentialbuildings energy auditing. This checklist also provides some essential recommendations as outputsbased on the data and calculations.Results and Discussion:In fact, the developed software performs calculations for heating, losses, etc. based on the conductedmeasurements and consequently recommends the most suitable method. Furthermore, to ensure itsappropriate performance, the guideline has been applied and tested in a building its energy auditinghas been presented. Manuscript profile -
Open Access Article
54 - 5
رضا مرندی میراسماعیل معصومی حسن آزادمنش -
Open Access Article
55 - Selenite-resistant Lactobacilli isolated from local cheeses made in the rural areas of Kurdistan and its application for the removal of selenite from water and wastewater
Morahem Ashengroph Davoud SaediBackground and Objective: The presence of the high concentrations of selenite in the industrial wastewater that and subsequently entering water supply and the food chain are being health concerns. Thus, microbial bio-remediation has been considered as a safety tool for MoreBackground and Objective: The presence of the high concentrations of selenite in the industrial wastewater that and subsequently entering water supply and the food chain are being health concerns. Thus, microbial bio-remediation has been considered as a safety tool for removing selenite. The aim of the current study was to evaluate the capability of selenite removal using Selenite-resistant Lactobacilli isolated from local cheeses made in the rural areas of Kurdistan. Method: 25 local sample were collected from pristine areas kordestan provinceEnrichment was performed in the MRS media containing selenite (SeO3-2). Selenite tolerance pattern among bacterial isolates was performed by using the agar dilution test and broth dilution method. The selenite content in the reaction medium was measured by a colorimetric assay. The One-factor-at-a- time method (OFAT) was used for the process optimization. Molecular characterization was performed by amplification of 16S rDNA gene and sequencing. Findings:A total of 30 selenite-resistant bacteria were isolated and one of the strain, namedLactobacillus sp. Tra cheese 6, show the highest resistance to selenite (125 mM) along with bio-reduction efficiency. The maximum selenite removal was observed at the following conditions: initial biomass concentration 50 g/l, NaCl 4% (w/v), Temperature 37 C, pH 7.2 and agitation 100 rpm in the presence selenite with initial concentration of 45 mM. Under the optimal conditions, the concentration of SeO3-2 ion in the reaction supernatant decreased by 96% (from 45 to 1.8 mM) after 60 hours of incubation. Discussion and Conclusion: Regarding the results obtained in the current investigation, isolation and determined of Lactobacilli as safety and economic catalysts and to develop suitable alternative methods for the removal of heavy metal oxyanions from water and wastewater are suggested. Manuscript profile -
Open Access Article
56 - Optimization of Cropping Pattern with an Emphasis on Social Benefits in the Rational Exploitation of Water (A Case Study of Fars Province)
Hamid Mohammadi Alireza Sargazi Vahid Dehbashi Mohammad PoudinehBackground and Purpose:The aim of this study is to provide cropping pattern with different objectives to maximize the private and social benefits is separately in the city of Marvdasht. To determine the optimal cropping pattern mathematical programming models was used. MoreBackground and Purpose:The aim of this study is to provide cropping pattern with different objectives to maximize the private and social benefits is separately in the city of Marvdasht. To determine the optimal cropping pattern mathematical programming models was used. Methods: This study was collected the part of data such as yield, price and cost of production of crops and inputs to produce these products in hectare using two-stage cluster analysis method from 97 questionnaire. Results: The results showed the total cultivation area in this case relative to the total current cultivated area was unchanged. But in this model products such as irrigated wheat, dry land wheat, corn, watermelon, cucumber, onion, beans and irrigated lentils removed from the pattern and irrigated barley, melons and onions (with 33193, 1477 and 43126 ha) were planted into a pattern. Also tomato cultivation increased 93 hectares. Conclusion: The results showed social benefits and gross margin in this model relative to current model increased 1627170000000 and 1482915224150 IR. Rials respectively. Manuscript profile -
Open Access Article
57 - Optimization of effective parameters in the biological treatment of heavy metals (Nickel, Copper) using sequencing batch reactors (SBRS)
Morteza Khosravi Mohammad Rabani Mohammad Reza Allahgholi Ghasri Mohammad Javad Ebrahimi ZarandiThis research aimed at optimizing the effective parameters such as pH, activated sludge volume, concentration range, and fluid flow in the biological treatment of heavy metals (Nickel, Copper). The researchers studied the biological treatment of the above-mentioned meta MoreThis research aimed at optimizing the effective parameters such as pH, activated sludge volume, concentration range, and fluid flow in the biological treatment of heavy metals (Nickel, Copper). The researchers studied the biological treatment of the above-mentioned metals in presence of activated sludge at Ghaytarieh wastewater treatment plant in Tehran as well as aeration with mixture. Then, such parameters as pH (8±0.3), activated sludge volume 30%, concentration range of Cu II (800-1200) mg/lit and Ni II (800-1000) mg/lit were determined. For the biological removal of Cu II and Ni II (1000 mg/lit), three Plexiglass sequencing batch reactors with a total volume of 24 liters were used with sludge volume 30%, pH (8±0.3), DO (6-8) mg/lit, dissolved oxygen (6- 8) mg/lit, and optimum fluid flows 40 ml/min. The following results were obtained: Removal of Cu II: 99.74% Removal of Ni II: 92.4 % Decrease of BOD5: 81.65% Decrease of COD: 78.13% SVI: 62 ml/g Manuscript profile -
Open Access Article
58 - Supply Chain Management Models for the Development of Green Fuel Production from Microalgae in Iran
Shayan Mohseni Mir saman PishvaeeBackground and Objective: Environmental pollution and dependency on fossil fuels are the most important incentives for the development of biofuels in Iran. Microalgae are introduced as one of the best raw materials for the production of biofuels in the world. In additio MoreBackground and Objective: Environmental pollution and dependency on fossil fuels are the most important incentives for the development of biofuels in Iran. Microalgae are introduced as one of the best raw materials for the production of biofuels in the world. In addition, for the production of microalgae, the emissions from power plants are used which leads to the reduction of greenhouse gas emissions to the atmosphere. Method: This paper proposes a microalgae-based biofuel supply chain network design model to study the development of such fuels. First, a deterministic model was developed to model the all activities of the supply chain including provision of raw materials for the production of microalgae, microalgae cultivation, turning them into biofuel and eventually biofuel distribution. Then, the deterministic model was extended to a robust network design model to achieve a safe and stable supply chain decisions in the face of uncertainty. Findings: Results of using the proposed model for the development of microalgal biofuel production show that the cost biofuel production from microalgae is 88.5 thousand Rials per liter. Discussion and Conclusion: Current production cost of microalgae-based biofuel cannot compete with that of fossil fuel, but the cost can be significantly decreased with a slight increase in algae productivity or oil content in future. Manuscript profile -
Open Access Article
59 - Portfolio optimization by using the Copula Approach and multivariate conditional value at risk in Tehran Stock Exchange
Mirfeiz Fallahshams Amir SadeghiOne of the main problems of shareholders in the stock market is the discovery, quantification and calculation of market risk. In many studies, one-way distributions are used to estimate risk metrics that usually do not give credible results to the investor. Because the MoreOne of the main problems of shareholders in the stock market is the discovery, quantification and calculation of market risk. In many studies, one-way distributions are used to estimate risk metrics that usually do not give credible results to the investor. Because the distribution of assets is generally a broad sequence, and the results of computations are not acceptable for the consideration of the univariate normal distribution and the use of parametric methods. In this paper, using the Coppola theory, we calculate risk-weighted value (VaR) and conditional value-at-risk (CVaR). After estimating the multivariate T- Copula and the normal distribution of multivariate, the Monte Carlo method is used to generate a scenario for calculating the variance of the portfolio as well as risk estimation. Also, the calculations performed using the loss function method are tested and the accuracy of the approximations is verified. Finally, the minimum value of the copula based on the variance of the portfolio as well as its CVaR value is considered as the function of the portfolio planning, and the optimal portfolio is obtained by considering the weight of each share index. In the calculation of the 1200 index, we consider a sample basket of different industries, by calculating VaR and CVaR with confidence levels of 95 and 99 percent. The results obtained from the efficiency and reliability of the Monte Carlo simulation by the Copula T-Student versus the normalized multivariate distribution. Manuscript profile -
Open Access Article
60 - Optimization of Network-Based Matrix Investment Portfolio and Comparison with Fuzzy Neural Combination Pattern and Genetic Algorithm(ANFIS)
ALI SheidaeiNarmigi Fraydoon Rahnamay Roodposhti Reza RadfarResearchers have been researching portfolio optimization issues for several years. One of the main issues is to determine the optimization method, which is to form an optimal investment portfolio, ie to minimize investment risk and maximize investment profit. The aim of MoreResearchers have been researching portfolio optimization issues for several years. One of the main issues is to determine the optimization method, which is to form an optimal investment portfolio, ie to minimize investment risk and maximize investment profit. The aim of this study is to investigate the strategic capability of network matrix and fuzzy genetic neural model (ANFIS) in optimizing the investment portfolio among companies on the Tehran Stock Exchange. Grouping stocks by network matrix based on new variables including aggressive, indifferent and defensive stocks provided by Roodpashti (2009) and traditional variables including growth, growth-value and value stocks and classification of companies based on their market value and use. From the law of quarters and finally their weighting is considered in proportion to the return of that share. The design and presentation of a stock portfolio optimization model using adaptive fuzzy neural inference system and its combination with genetic algorithm (ANFIS) in which two different categories of technical and fundamental variables are used as model inputs. Research outputs show that these systems have the necessary ability to optimize the stock portfolio. Therefore, a combined model of neural networks and fuzzy reasoning theory with genetic algorithm has been used to weight the factors affecting stock portfolio optimization in the 7 years leading up to 1398. Manuscript profile -
Open Access Article
61 - Evolutionary multi-objective (3 or 4) optimization portfolio using fuzzy logic in Tehran Stock Exchange
Mohammad Javad Salimi Mirfeiz FallahShams Hadi Khajezadeh DezfuliThe problem of portfolio optimization and stock selection is one of the major areas for financial investors in financial markets. In this paper, some of the challenges of simultaneously multi-objective portfolio optimization are addressed. Four different models are desi MoreThe problem of portfolio optimization and stock selection is one of the major areas for financial investors in financial markets. In this paper, some of the challenges of simultaneously multi-objective portfolio optimization are addressed. Four different models are designed: a fuzzy multi-objective programming model has been used to consider the multi-criteria nature of stock selection and the uncertainty associated with the return on assets and a simple model for doing this. The models are designed in such a way that both the nature of the multiplicity of the problem of portfolio selection is considered and the considerations of the investor in the choice of portfolios are involved. After designing the evolutionary 3 and 4 objective models of portfolio optimization, multi-objective evolutionary algorithm NSGA-II was used to solve this models. Concretely, it optimizes return, the downside-risk, skewness and the Kurtosis of a given daily returns, taking into account budget, and investor constraints. Because of the NP-HARD nature of the above models, the NSGA-II proprietary algorithm was coded in the MATLAB, and after solving each model and extracting the Pareto frontier, the best portfolio on the Pareto front was selected based on the maximum Sortino ratio. Finally, the results of the obtained portfolios in both fuzzy and non-phase conditions were compared according to the trainer's ratio, and it was determined that the use of fuzzy logic in quadratic evolutionary algorithms, compared to a situation where fuzzy logic is not used in the design and use of these algorithms., Creates more favorable results. Manuscript profile -
Open Access Article
62 - Design of Mathematical Optimization Algorithm of Banks' Foreign Exchange Portfolios on the Basis of Fuzzy Logic and Relevant Risk Indices (Case Study: Bank Mellat)
Gholamreza Bayati Mohammad Ebrahim Mohammad Pourzarandi HAMIDREZA KORDLOUIE Arefeh FadaviOptimization of banks' foreign exchange portfolios aiming to determine an optimized combination of foreign exchange assets is in such a manner that it leads to a minimum risk and maximum yield. The approach used in this article, which is actually a priority over other m MoreOptimization of banks' foreign exchange portfolios aiming to determine an optimized combination of foreign exchange assets is in such a manner that it leads to a minimum risk and maximum yield. The approach used in this article, which is actually a priority over other methods is to use a combination of inexact mathematical models (fuzzy) and optimization. Thus, in this research, linear programming with fuzzy target coefficients has been used. The target coefficients are the same as the exchange rate. In other words, the daily rates of all currencies due to fluctuations are considered as fuzzy numbers. Therefore, in this investigation, by developing a multi-purpose mathematical model and by applying the fuzzy data relating to transaction rate of six foreign exchanges in year ended on March 20, 2020, including US dollar, Emirates Dirham, Japanese Yen, Turkish Lira, Korean Won and Euro, case by case risks related to the fluctuations of noted foreign exchanges and also their yield in the foreign exchange portfolio of Bank Mellat were measured and estimated for the future time horizon. All banks may benefit from the developed model. By determination of the optimal weight of each foreign exchange, upon describing and analyzing the existing status it specifies the optimal status, enabling banks to fulfill their foreign exchange obligations on due dates by properly and optimally making investment in foreign exchange assets meanwhile gaining a competitive advantage. "Gams Software" was used for solving the model. Manuscript profile -
Open Access Article
63 - Relationship between risk and risk - aversion utility Based on Multi-Period prospect theory
RAZIEH Ahmadi Adel Azar gholam reza zomorodianSThe purpose of this study is to investigate the effect of loss-aversion behavior on multi-period investment decisions. For this purpose, two models of portfolio optimization have been designed. Instead of a single-period portfolio model, a three-period model has been us MoreThe purpose of this study is to investigate the effect of loss-aversion behavior on multi-period investment decisions. For this purpose, two models of portfolio optimization have been designed. Instead of a single-period portfolio model, a three-period model has been used. In order to bring the optimization models closer to the real world, in addition to the CVaR as one of the main constraints, the transaction cost and the lower bound and upper bound investment in each asset are also considered. two models of loss aversion and mean-CVaR optimization were solved using PSO algorithm. Also, some important criteria such as initial loss aversion coefficient and reference point are used to test the robustness of model. The results based on the optimal wealth and Sharp ratio showed that loss-averse investors tend to concentrate most of their wealth and have a better performance than rational investors. The impact of CVaR on investment performance was identified. When the market is falling, investors with higher risk aversion avoid extreme losses and obtain more gains. Manuscript profile -
Open Access Article
64 - Predicting and optimizing the liquidity required by branch ATMs using artificial intelligence
mahdi Afshar Ramandi Farzin Rezaei mahdi RezaeiPurpose of this corpus is too optimize and predict required cash for atm devices among KESHAVARZI bank branches with in QAZVIN Province, with artificial intelligence algorithm depending on risk appetite. To achieve this purpose 2 years of daily transaction belonging to MorePurpose of this corpus is too optimize and predict required cash for atm devices among KESHAVARZI bank branches with in QAZVIN Province, with artificial intelligence algorithm depending on risk appetite. To achieve this purpose 2 years of daily transaction belonging to KESHAVARZI BANK branches data has been used. Which data were indicating balance, financial daily book, treasury fund and transactions and ATM transactions. The procedure of cleaning, standardization was done before the data sent to linear regression algorithms, the algorithms used in this approach are linear regression, lasso regression and ridge regression. After calculating MSE error, algorithm chose the best model with less MSE error using python programming language Also Jupiter notebook has been used as IDE This research indicates that there are a reverse meaningful relationship between cash balance and risk appetite and opportunity cost. Also a straight meaningful relationship between daily cash flow and debt-credit (which has been provided by the bank and costumers). Features and data that has been used for training an AI model revaluate again with a different values that has been also generated by AI in next step.Results shows that using artificial intelligence can predict daily cash needs with 95% accuracy with an acceptable error. Manuscript profile -
Open Access Article
65 - Identifying and Prioritizing Indicators for Optimizing the Financing Chain in Order to Improve Performance
Reyhaneh Ziloochi Mohammad Ebrahim Mohammad Pourzarandi Zadollah fathiThis research is a sequential mixed study in the sense that qualitative data from the literature review is first collected through in-depth interviews and then analyzed. After collecting the data and identifying them, the coding stage was done using the Swara method usi MoreThis research is a sequential mixed study in the sense that qualitative data from the literature review is first collected through in-depth interviews and then analyzed. After collecting the data and identifying them, the coding stage was done using the Swara method using the opinion of experts. The data was collected according to the reliable information and data of large companies accepted in the stock exchange and the Kodal system, and the reports and financial statements of the aforementioned machinery and equipment industry companies were used. The examined experts are all managers and experts of machinery and equipment industry companies and university professors, who are somehow considered experts in the concepts of the current research.In general, the main goal of this research is provide a model of the financing supply chain that can identify the optimized indicators influencing the financial supply chain in order to improve its performance and introduce the degree of influence of each one.This research creates a model of the financing chain that studies the management and control of risk and obstacles and bottlenecks, as well as the effects of the financing decision, and the relationship between the management of the financing chain and finally shows what Factors can improve and upgrade the production cycle and affect the performance of the company. Manuscript profile -
Open Access Article
66 - applying Imperialist competitive algorithm (ICA) for construction and optimization Portfolio
Ali Morovati Sharifabadi Shirin Azizi Nastaran AhmadiMarkowitz optimization problem and determining Efficient frontier of investment when the number of asset invested and restrictions on the market is low, is solvable with mathematical models. But when the real world restrictions is considered , the portfolio proble MoreMarkowitz optimization problem and determining Efficient frontier of investment when the number of asset invested and restrictions on the market is low, is solvable with mathematical models. But when the real world restrictions is considered , the portfolio problems cannot be easily solved with mathematical methods. For this reason, the use of innovative techniques such as neural networks, genetic and evolutionary algorithms in optimizing Algorithm portfolio is one of the main topics of discussion in recent times. The main goal of this research is to solve the portfolio optimization problem using optimization Imperialist competitive algorithm. Therefore, using price data of 30 stocks in all listed Automotive parts in the Tehran Stock Exchange from farvardin 1388 to shahrivar 1390, the graphs are plotted. Results of this study show that the optimization Imperialist competitive algorithm in the formed of a portfolio will be successful. Manuscript profile -
Open Access Article
67 - Stock Portfolio Selection Using Dempster-Shafer Evidence Theory
Shaban Mohammadi Nader Naghshbandi Hadi SaeidiMarkovitz's risk-taking model is to select stocks based on historical asset data. In addition to the impact of historical returns, there are many other critical factors that directly or indirectly affect the stock market. The present study first uses the Fuzzy Delphi me MoreMarkovitz's risk-taking model is to select stocks based on historical asset data. In addition to the impact of historical returns, there are many other critical factors that directly or indirectly affect the stock market. The present study first uses the Fuzzy Delphi method to identify critical factors and ultimately considers factors with low correlation coefficients. Critical factors and historical data were used to adapt Dempestor-Schafer evidence theory for stock rankings. Then, in the sampling model, stocks with a higher rank are proposed. Sampling was carried out using stock held on Tehran Stock Exchange and simulated by optimization of colonization of ant. The performance of the results is satisfactory in comparison with the recent performance of assets. Manuscript profile -
Open Access Article
68 - Parameter setting of technical analysis indicators using multi-objective particle swarm optimization and adaptive fuzzy inference system
Ibrahim Abbasi Hossein Akefi Shahaboddin AdibmehrIn this paper, we propose automatic stock trading system which combines technical analysis and adaptive neural fuzzy inference system to predict the stock price trend to increase return of investment. In this trading system, at first the optimal value of technical indic MoreIn this paper, we propose automatic stock trading system which combines technical analysis and adaptive neural fuzzy inference system to predict the stock price trend to increase return of investment. In this trading system, at first the optimal value of technical indicator's parameters is determined by using multi-objective particle swarm optimization and according to these parameters; technical indicators are calculated to predict stock price changes with the help of adaptive neural fuzzy inference system. We have chosen eight different stocks from Tehran stock exchange to test our trading system for two months. A computational experience is carried out in order to analyze the proposed algorithm and the obtained results are compared with usual conventional methods which have been proposed in previous researches. The computational results show our proposed method performs better than other previous methods and obtains superior results. Manuscript profile -
Open Access Article
69 - Optimizing Stock Portfolio with regard to Minimum Level of Total Risk using Genetic Algorithm
Maedeh Kiani Harchegani Seyed Ali Nabavi Chashmi Erfan MemarianRisk and return are two main factors that have always been considered in the field of investment. Simultaneously with the advent of different models for portfolio optimization which the Markowitz model is the most important of those, the necessity to identify methods fo MoreRisk and return are two main factors that have always been considered in the field of investment. Simultaneously with the advent of different models for portfolio optimization which the Markowitz model is the most important of those, the necessity to identify methods for solving these models gained great Importance. Genetic Algorithm is one of the most important metaheuristic methods used for the solution of the portfolio optimization models.This study aimed at evaluating the level of efficiency of this metaheuristic model in portfolio optimization. Therefore, in this study once we have calculated the optimal efficient frontier by the use of the genetic algorithm, and then we compared this optimal efficient frontier with the efficient frontier which was obtained through exact solution method. To achieve this purpose, 25 companies were selected from companies in Tehran Stock Exchange. The results of our study shows that the optimal efficient frontier gained through genetic algorithm is equal to the efficient frontier obtained using the exact solution method, and thereby indicating the high efficiency of genetic algorithm in portfolio optimization. The other result of the present study is that the comparison of the optimal portfolio gained through exact solution with the systematic and unsystematic risk, also revealed that Stock diversity in portfolios with unsystematic risk is much greater than portfolios with systematic risk. Manuscript profile -
Open Access Article
70 - Optimizing technical indicator rules
Reza Tehrani Hamed FogharaeiIn finance field, two ways are the most important to analysis, fundamental and technical analysis. Different experience showed that, using one of them, independently, cannot bring in return more than they are used together. So, it seems are needed more researches in thi MoreIn finance field, two ways are the most important to analysis, fundamental and technical analysis. Different experience showed that, using one of them, independently, cannot bring in return more than they are used together. So, it seems are needed more researches in this section of finance field. In technical analysis by using information such as prices and traded volume, indicators are calculated and base on roles that introduce with them, decision are made. It probably the normal roles of indicators are not profitable more than before and are not able to bring extreme return to investors that use them. In stock market without enough efficiency, using technical analysis caused returns more than using fundamental analysis, independently. In this paper will tested to optimize indicators’ normal roles and is tried to produce efficient tools to bring return more. So that are used 50 companies that are much traded in years between 21 of march 2008 to 20 of march 2012 and optimizing are done first by using trying all of area and in second step by using enetic algorithm and finally compare to result from normal roles of indicators and buy and hold. Manuscript profile -
Open Access Article
71 - Fuzzy Portfolio Optimization using Meta-heuristic Unconscious Search Algorithm
Mohammad Eghbalnia Seyed Maziar DaliranThe optimization of the stock portfolio and the allocation of wealth between the various assets are among the most important issues in investing.In this study, the problem of optimizing stock portfolios, considering the real world constraints and with the assumption tha MoreThe optimization of the stock portfolio and the allocation of wealth between the various assets are among the most important issues in investing.In this study, the problem of optimizing stock portfolios, considering the real world constraints and with the assumption that the return on risky assets of fuzzy numbers is composed. Then, a new probabilistic model of mean-semi absolute deviation was presented in which transaction cost and cardinality constraints were also considered. The existence of such constraints transforms the model into a mixed-integer non-linear programming model that traditional approaches fail to solve, for this purpose a new meta-heuristic algorithm called the Unconscious Search Algorithm is used to solve the problem. Unconscious Search algorithm is a new algorithm based on Freud's psychoanalysis theory. In order to investigate the power and accuracy of solving this algorithm, a case study was carried out with the information of 50 top Tehran Stock Exchanges for years 2012 to 2016. The results were compared with Particle Swarm Optimization and Genetic algorithms, which showed the superiority of this algorithm in the optimization problem of Stock portfolio. Manuscript profile -
Open Access Article
72 - Fuzzy portfolio selection under down risk measure by hybrid intelligent algorithm
Hojat Ansari Adel Behzadi Mostafa EmamdoostPortfolio optimization is one of more important problems in financial area. The classic model consider that stocks is random variable with symmetric probability density function. But in real world, forecasting stock condition always faced with uncertainty and we need in MorePortfolio optimization is one of more important problems in financial area. The classic model consider that stocks is random variable with symmetric probability density function. But in real world, forecasting stock condition always faced with uncertainty and we need insert human factors in our forecasting. Fuzzy logic is one of methods that we can use this to model this condition. On other hand, experimental studies show that assets return isn’t normal and symmetric, so we should use down risk measure such as semi variance and semi absolute deviation. In this research we consider two point in portfolio selection problem. Then we use two intelligent method based genetic and deferential evolutionary algorithm for solving the models. Making use of Tehran Stock Exchange data, it is concluded that considering semi absolute deviation has higher efficiency than semi variance model and intelligent method based deferential evolutionary algorithm has higher efficiency from intelligent method based genetic algorithm. Manuscript profile -
Open Access Article
73 - انتخاب رهبران رای با استفاده از الگوریتم بهینه سازی گرگ خاکستری در شبکه های اجتماعی
صمد محمد اقدم فرهاد سلیمانیان قره چپق محمد مصدریسرویس های شبکه های اجتماعی دیجیتال همان شبکه های اجتماعی هستند که مردم به اصطلاح عامیانه از این واژه استفاده می کنند. پلتفرم های رسانه های اجتماعی و وب سایت هایی که انتقال دانش از طریق شبکه های اجتماعی را امکان پذیر می کنند، ابزارهای دیجیتالی هستند که برای ساخت شبکه های Moreسرویس های شبکه های اجتماعی دیجیتال همان شبکه های اجتماعی هستند که مردم به اصطلاح عامیانه از این واژه استفاده می کنند. پلتفرم های رسانه های اجتماعی و وب سایت هایی که انتقال دانش از طریق شبکه های اجتماعی را امکان پذیر می کنند، ابزارهای دیجیتالی هستند که برای ساخت شبکه های اجتماعی و توسعه آنها طراحی شده اند. علاقه و استفاده زیاد از شبکه های اجتماعی این محیط ها را برای فعالیت های مختلف از جمله اقتصادی، فرهنگی، سیاسی و ... مهیا کرده است. رهبران رای یکی از مهمترین مواردی هستند که در این محیط ها تأثیر زیادی بر سایر کاربران دارند. رهبران رای در شبکه های اجتماعی سودمند هستند و ما می توانیم با شناسایی آنها از توانمندی و نفوذ آنها استفاده کنیم. در این مقاله، ما رهبران رای را با استفاده از الگوریتم بهینه سازی گرگ خاکستری انتخاب کرده ایم. این روش سلسله مراتب رهبری و سازوکار شکار گرگهای خاکستری را در طبیعت تقلید می کند و شامل 3 مرحله اصلی شکاریعنی جستجوی طعمه، محاصره طعمه و حمله به طعمه است. بر اساس بررسی ها و نتایج حاصله، تعداد رهبران واقعی رای تشخیص داده شده توسط این الگوریتم قابل توجه است و مزیت روش پیشنهادی سازگاری با معیارهای مختلف و ارائه نتایج پایداری درروش های مختلف است. Manuscript profile -
Open Access Article
74 - مساله مکان یابی هاب تک تخصیصی ظرفیت دار دو هدفه با فرض ایمنی مسیرها
فروغ معین مقدس فرزانه فولادیمسائل مکان یابی هاب به دلیل کاربردهای بسیارشان در سیستم های حمل ونقل و توزیع از اهمیت بالایی برخوردار هستند. پیچیدگی های مسائل واقعی امروزی اغلب کاربرد مسائل تک هدفه را به چالش می کشاند. به منظور واقعی تر شدن مدل، در این مقاله مسئله دو هدفه مکان یابی پوشش هاب ظرفیت دار Moreمسائل مکان یابی هاب به دلیل کاربردهای بسیارشان در سیستم های حمل ونقل و توزیع از اهمیت بالایی برخوردار هستند. پیچیدگی های مسائل واقعی امروزی اغلب کاربرد مسائل تک هدفه را به چالش می کشاند. به منظور واقعی تر شدن مدل، در این مقاله مسئله دو هدفه مکان یابی پوشش هاب ظرفیت دار تک تخصیصی با در نظر گرفتن قابلیت اطمینان مسیرها مورد بررسی قرار می گیرد. در این مقاله علاوه بر ظرفیت برای هاب ها، هزینه های ثابتی نیز برای احداث آنها در نظرگرفته می شود. تلاش می شود همزمان با می نیمم سازی هزینه ها، امنیت ضعیف ترین مسیر شبکه نیز ماکسیمم شود. برای مسئله مفروض، سه مدل ریاضی پیشنهاد شده است. ابتدا عملکرد مدل های تک هدفه ارزیابی و پس از تعیین مدل مناسب تر، مدل دو هدفه پیشنهادی با استفاده از روش ε-محدودیت حل می شود. در این مقاله هزینه های ثابت احداث با دو روش متفاوت یکی براساس فاصله از مرکز جرم سیستم و دیگری بر اساس ظرفیت هاب ها محاسبه می شود. نتایج محاسباتی نشان می دهد که از میان سه مدل، سومین مدل ارائه شده و با هزینه های ثابت بر مبنای فاصله از مرکز جرم، دارای عملکرد بهتری است. Manuscript profile -
Open Access Article
75 - بهینه سازیGSOCPP برای پیش بینی تعداد مناسب کنترلرها در SDN
اعظم امین محسن جهانشاهی محمدرضا میبدیدر SDN لایه کنترلر از لایه داده جدا شده است و تمامی عملکردهای سیستم به لایه کنترلر سپرده شده است. با این حل، راه حل های متمرکز، همیشه دو مشکل و گلوگاه را در بر دارد. از اینرو در شبکه های بزرگ، به منظور افزایش کارایی و در دسترس بودن شبکه از چند کنترلر استفاده میشود. امرو Moreدر SDN لایه کنترلر از لایه داده جدا شده است و تمامی عملکردهای سیستم به لایه کنترلر سپرده شده است. با این حل، راه حل های متمرکز، همیشه دو مشکل و گلوگاه را در بر دارد. از اینرو در شبکه های بزرگ، به منظور افزایش کارایی و در دسترس بودن شبکه از چند کنترلر استفاده میشود. امروزه، یکی از مشکلات مطرح در SDN، یافتن تعداد بهینه و محل کنترلرها میباشد که یک مسئله NP-Hard است. از اینرو در این مقاله، علاوه بر ارائه یک الگوریتم کارآمد بر اساس الگوریتم مار گارتر (GSO)، یک تحلیل آماری جدید برای تعیین تعداد کنترلکنندهها رقم میخورد. Manuscript profile -
Open Access Article
76 - تاثیر شاخص متا مالمکوئیست روی بهینه سازی سبد دارایی
زهره طائب شکوفه بنی هاشمیاز آنجائیکه تغییر ارزش در معرض خطر شرطی (CVaR) در سطوح مختلف اطمینان برای بهینه سازی سبد بسیار موثر است، شاخص متا مالمکوئیست (MMI) دراین پژوهش استفاده شده است. برای این هدف، مدلهای میانگین- ارزش در معرض خطر شرطی با شاخص متا مالمکوئیست در حضور داده منفی معرفی گردیده است. Moreاز آنجائیکه تغییر ارزش در معرض خطر شرطی (CVaR) در سطوح مختلف اطمینان برای بهینه سازی سبد بسیار موثر است، شاخص متا مالمکوئیست (MMI) دراین پژوهش استفاده شده است. برای این هدف، مدلهای میانگین- ارزش در معرض خطر شرطی با شاخص متا مالمکوئیست در حضور داده منفی معرفی گردیده است. مشابه تئوری مارکوویتزدر چارچوب میانگین- واریانس، ارزش در معرض خطر شرطی به عنوان سنجه ریسک بکار رفته و مدلها بدون در نظر گرفتن چولگی و کشیدگی بازده مطرح شده است. در این مطالعه تعدادی داده منفی وجود دارد، بنابراین مدلهای برمبنای مدل اندازه جهت دار مبنایی (RDM) است که مقادیر مثبت و منفی را می پذیرد. در این مقاله، کارائیها در همه سطوح اطمینان در مدل های میانگین- ارزش در معرض خطر شرطی و شاخص متا مالمکوئیست روی سطوح اطمینان به عنوان دوره ها در حضور داده منفی محاسبه شده است. این روش به سرمایه گذاران کمک می کند که سبدهای سودآورشان را با شاخص متا مالمکوئیست بسازند. همچنین یک مطالعه عملی روی بازار بورس ایران انجام گرفته است. Manuscript profile -
Open Access Article
77 - تعیین اوزان قطعی نرمال شده از ماتریسهای مقایسات فازی با استفاده از مدل برنامه-ریزی آرمانی لگاریتمی دو مرحلهای بهبودیافته
امیر محمدقاسمی عبدالله هادی ونچهفرآیند تجزیه و تحلیل سلسله مراتبی فازی (FAHP) یکی از مشهورترین تکنیک­های تصمیم گیری چند معیاره است که با استفاده از آن اوزان معیارها و مقادیر ارزیابی گزینه­ها بر پایه مقایسات زوجی فازی ایجاد می­گردند. رویکردهای زیادی جهت تعیین اوزان از ماتریس­های مقایسات Moreفرآیند تجزیه و تحلیل سلسله مراتبی فازی (FAHP) یکی از مشهورترین تکنیک­های تصمیم گیری چند معیاره است که با استفاده از آن اوزان معیارها و مقادیر ارزیابی گزینه­ها بر پایه مقایسات زوجی فازی ایجاد می­گردند. رویکردهای زیادی جهت تعیین اوزان از ماتریس­های مقایسات زوجی وجود دارند. برخی از این روش­ها اوزان بازه­ای را در آلفا برش­ها محاسبه کرده­اند. با این وجود، در برخی تکنیک­های تصمیم گیری چندمعیاره (نظیر روش ترجیح بر اساس مشابهت به راه حل ایده­آل (TOPSIS)، راه حل توافقی و بهینه سازی چند معیاره (VIKOR) و FAHP) لازم است تا اوزان قطعی نرمال شده محاسبه شود. در مقاله حاضر، نویسندگان شاخصی را توسعه دادند که با استفاده از آن اوزان بازه­ای بدست آمده در آلفا برش­ها به وزن قطعی تلفیق می­شود. در انتها، چندین مثال توضیحی در ادبیات جهت نشان دادن اعتبار شاخص پیشنهادی در نظر گرفته شده و پس از آن، نتایج بدست آمده با اوزان استخراج شده توسط برنامه­ریزی ترجیحی فازی (FPP) مقایسه می­شوند. نتایج بدست آمده نشان می­دهند که تکنیک پیشنهادی جهت بدست آوری اوزان قطعی روشی مناسب است و اولویت­های رتبه بندی مشابهی را با سایر روش­ها دارد. Manuscript profile -
Open Access Article
78 - Preparing Heating Atlas of Iran Entire Zones By Degree- Day Method to Prepare Energy Consumption Scale
mehdi Mehrabi abdolrazagh Kaabi-Nejadian morteza Khalaji AsadiConsidering fossil fuels depletion and increasing of energy demand in Iran, a special attention is requiredtoward the energy conservation. Energy demand of building section in Iran is very high, which is as a resultof many factors such as governmental huge sub MoreConsidering fossil fuels depletion and increasing of energy demand in Iran, a special attention is requiredtoward the energy conservation. Energy demand of building section in Iran is very high, which is as a resultof many factors such as governmental huge subsidies for energy, lack of energy conservation culture inbuilding inhabitants, poor insulation of buildings and poor heating or cooling control systems.Most of buildings heating control systems in Iran do not respond properly to weather temperature changes during winters, therefore most of the time the interior temperature of these buildings exceed the comfort temperature, thus these buildings are not energy efficient and consume excessive amount of energy. The most important index to identify these buildings across the country is to know HDDs for each point of the country.Unfortunately, up to now no comprehensive research has been conducted in Iran about HDDs, and thus no HDDs atlas has been provided, therefore it is essential for energy managers, engineers and in particular for the government to be supplied with HDDs for each point of Iran. By taking this fact into account, we decided to prepare a comprehensive HDDs atlas for Iran entire zones.In this paper authorized temperature databases of 255 meteorological stations in 30 provinces of Iran havebeen collected from Iran meteorological organization, thereafter, by processing the temperature databases, theannually HDDs for each station were calculated, then a mathematical modeling (multiple regression analysis technique) was employed in order to simulate the HDDs of other places in Iran. Consequently, a HDDs Atlas across Iran entire zones was provided.As a result of this work, by providing a HDDs atlas, the government would be capable of pointing out buildings that consider energy conservation standard scales with proper heating control systems and continue to support them with subsidies, if not they can warn them to reform their energy consumption methods, this policy enhances the government abilities to manage the rate of energy consumption in buildings. Furthermore, energy managers and engineers will be provided with a standard index to calculate annual energy requirement of each building by considering energy conservation aims. Manuscript profile -
Open Access Article
79 - Principles of Time Management and its Pathology in the Divan of Bahar
Haniyeh Taherloo Kamran Pashaei Fakhri Parvaneh AdelzadehTaking advantage of life and achieving success are among the main goals of human beings. One of the most important steps in this direction is to master time and manage it properly, and human beings move towards perfection until they reach the source by going throug MoreTaking advantage of life and achieving success are among the main goals of human beings. One of the most important steps in this direction is to master time and manage it properly, and human beings move towards perfection until they reach the source by going through the poisons of life (wasting time) along the way. The result is that if one knows the value of time, one knows the value of life. What is being retrieved and reviewed in the present article is the optimal way to use time and its harmful factors in Bahar's poetries. Poetries that emphasize the transience of life and the grabbing the moments; this shows the importance of the mentioned subject as well as its necessity. The research sources are written references and the method is descriptive – research. Manuscript profile -
Open Access Article
80 - Optimization of lipase Enzyme production in the native strain Halophile Haloarchaea Isolated from Iran southern soil
hossein vahidinejad Ahmadali purbabaei Mohammad hossein razavianAbstractArchaea metabolites and enzymes widely used in various industries ,Because of the extremophiles nature and solidity And appropriate activities in the Hard industrial conditions. This study has been conducted According to the importance of lipolytic enzymes toler MoreAbstractArchaea metabolites and enzymes widely used in various industries ,Because of the extremophiles nature and solidity And appropriate activities in the Hard industrial conditions. This study has been conducted According to the importance of lipolytic enzymes tolerance saline and alkaline conditions In the food, pharmaceutical and health Industry .Therefore Survey Influence Type and percent of substrate, percent of salt, pH, temperature and incubation time on the growth of Arkia strain Also Lipase Enzyme production was The aim of this study. Optimal conditions for strain growth and lipase enzyme production with a Taguchi method was concluded Respectively in the pH8 and 8, substrate 0.5 % & 1.5% ,time 6 and 7 day , salt 19% & 25% , temperature 45 ºC & 35 ºC in the presence of tween oil and sweet Almond oil as the sole carbon source.According to above results ,can use this strain in the tanning industry and extraction of oil. Manuscript profile -
Open Access Article
81 - Time management principles and pathology of the Court Etesami
haniyeh taherlou Kamran Pashayi Faghri Parvane AdelzadeThe problem of the constant time of mind and heart, present and absent, has occupied man himself yesterday and today. It is a fact that is linked to human beings, and man always finds himself in the vein, as if a man is captive of time and has no way to get out of this MoreThe problem of the constant time of mind and heart, present and absent, has occupied man himself yesterday and today. It is a fact that is linked to human beings, and man always finds himself in the vein, as if a man is captive of time and has no way to get out of this captivity. The enjoyment of life and success are among the fundamental goals of humans. One of the most important steps in this direction is to master the time and correct management of it. In this perspective, individuals are advised to set goals, prioritize goals, to make decisions and to plan proper operations, and to keep them from looseness, rush, and any actions that threaten timely and proper work. Parvin points out in this study a reflection of the time and value of time that expresses the existential value of being, and the findings point out that in beliefs, humans progress to perfection until the principle, by passing the time offsets (wasting time) They go through. The result is that someone knows the value of time is worth living. What is retrieved and investigated in this article is the optimal method of time and damaging factors in the Parvin tribunal, which emphasizes the meaning of the poems of Parvin on the transitory life and span of momentum and living, and the importance of this issue and the necessity of its review. is showing. Research has been done by exploring written literature with a descriptive research method. Manuscript profile -
Open Access Article
82 - Design of Optimal Sugeno-type fuzzy Controller for Speed Control of DC Motor Including Drive and Chopper Dynamic Considering Multi-Objective Optimization Using Teaching Learning Optimization Algorithm
ali sedaratnia majid moradi zirkohi najmeh cheraghi shiraziDue to the simple structure of DC motors, these motors have found many applications in industry.Therefore, in this paper, the speed control of DC motor is investigated by considering the dynamics of drive and chopper with Sugeno-type fuzzy controller. A chopper is used MoreDue to the simple structure of DC motors, these motors have found many applications in industry.Therefore, in this paper, the speed control of DC motor is investigated by considering the dynamics of drive and chopper with Sugeno-type fuzzy controller. A chopper is used to control the voltage applied to the DC motor armature. Considering the dynamics of the chopper drive increases the complexity of the system. After designing the fuzzy controller to increase the performance of the control system, the fuzzy controller parameters are adjusted using a teaching-learning-based optimization algorithm. This algorithm is new and one of its features is its small number of parameters. The results show that the fuzzy controller has better performance against changes in system parameters and uncertainties compared to the classic PID controller. Considering the appropriate criterion function, the value of the cost function for the proposed method is 0.2. But with the optimized PID controller about 0.31 which shows a 55% superiority of the proposed method. Manuscript profile -
Open Access Article
83 - Improvement of SNDR using Optimization of Feedback Path Coefficients for Second Order CRFB Modulators in Sigma-Delta Analog to Digital Converters
Maryam Shahriary Abdolrasool Ghasemi najmeh cheraghi shiraziAnalog to digital converters are divided into two categories, Nyquist rate converter and oversampling converter, in terms of sampling frequency. At oversampling converter, input signal are sampled at several times the Nyquist rate. Increasing the over sampling rate lead MoreAnalog to digital converters are divided into two categories, Nyquist rate converter and oversampling converter, in terms of sampling frequency. At oversampling converter, input signal are sampled at several times the Nyquist rate. Increasing the over sampling rate leads to an increase in effective resolution, but although the use of high sampling rate for wide band signals is impractical due to the need for high sampling frequency and power consumption. Increasing the number of bits also increases the dynamic range as opposed to the multi-bit DAC required in the linear feedback path. In this paper, we designed sigma delta structure with 12 bit resolution, 1-v power supply for low power applications. on the other hand, increasing levels of quantization(number of bits) causes the reduction in-band noise power of the system, as well as the modulator stability improves without need increasing oversampling ratio. The maximum value of a signal-to-noise-and-distortion ratio(SNDR) will be achieved by means of choosing appropriate feedback coefficients. Simulation results of a 12-bit,2.4-MS/s , and 1-v proposed structure in a 0.18-µm CMOS technology show a signal-to-noise-and-distortion ratio (SNDR) of 71.3 dB, a power consumption of 451µW, and figure of merit 3.76(pJ/Conver.step.) Manuscript profile -
Open Access Article
84 - Economic Dispatch Problem for Minimizing Cost and Improving Reliability Consifering Uncertainty
saeed naseri Mojtaba Najafi mostafa esmaeilbeigThe purpose of the economic load distribution problem is to find a suitable design for the output of power plants in order to supply the consumption load in a certain time horizon, so that it ensures that the proposed design will meet the load demand at an acceptable le MoreThe purpose of the economic load distribution problem is to find a suitable design for the output of power plants in order to supply the consumption load in a certain time horizon, so that it ensures that the proposed design will meet the load demand at an acceptable level of reliability. With the advent of energy management and power consumption methods, the load growth trend has decreased, but there is still a need to optimize the issues of optimal operation in the production, transmission and distribution networks to supply and transfer power from producers to consumers. Therefore, solving the problem of economic load distribution in an optimal way and at an acceptable level of reliability is essential. The main purpose of this issue is to reduce operating costs. Operating costs include the cost of operating power plants and maintaining the network. In addition to cost, there are other goals such as network reliability that have not been carefully and seriously examined, so this article examines these goals. In this paper, a safe multi-objective optimization framework for dispatching power plants is presented. Cost minimization, redistributed energy were considered as optimization objective functions. Manuscript profile -
Open Access Article
85 - Robust Control of Robot Manipulators using Particle Swarm Optimization Method
Fazlollah Rajaee Seyed Mohammad-Ali Riazi Siamak AzargoshasbIn this paper, a new method for robust control is used. The whole robotic system, including the robot arm and motors in control, is considered. The main purpose of this article is to obtain the best results of the control law in order to achieve the minimum tracking err MoreIn this paper, a new method for robust control is used. The whole robotic system, including the robot arm and motors in control, is considered. The main purpose of this article is to obtain the best results of the control law in order to achieve the minimum tracking error, which uses congestion optimization. Also, the designers of the control law are based on the nominal model . The real model uses intelligent systems. Control to resistance is evaluated by analysis and analysis.The stability of the system is demonstrated using Lyapunov's direct method, and the simulation results show the effectiveness of the proposed methods applied to a spherical robot driven by permanent magnet dc motors. Using the simulation results, the optimal values of the parameters in the torque controllers have not converged to their true values due to the large modelless dynamics, while they have converged to their true values in the voltage control because it has only parametric uncertainty. . Also, the torque control law requires position vector, velocity vector and acceleration vector feedback.These feedback can not be easily obtained. In contrast, the law of voltage control requires feedback from the position vector, velocity vector, current vector, and time derivative. These feedback can be easily accessed. Manuscript profile -
Open Access Article
86 - Design of Anomaly Based Intrusion Detection System Using Support Vector Machine and Grasshopper Optimization Algorithm in IoT
Sepehr Sharifi Soulmaz GheisariComputer networks play an important and practical role in communication and data exchange, and they also share resources with complete ease. Today, various types of computer networks have emerged, one of which is the Internet of Things. In the Internet of Things, networ MoreComputer networks play an important and practical role in communication and data exchange, and they also share resources with complete ease. Today, various types of computer networks have emerged, one of which is the Internet of Things. In the Internet of Things, network nodes can be smart objects, and in this sense, this network has many nodes and there is a lot of traffic in this network. Like any computer network, it faces its own challenges and problems, one of which is the issue of network intrusion and disruption. This dissertation focuses on detecting anomaly-based intrusion into the Internet of Things using data mining. In this study, after collecting and preparing data, the improved support vector machine with grasshopper optimization algorithm is used as a proposed method to detect anomaly-based intrusion in the Internet of Things. The bagging and k-nearest neighbor classifiers and Basic SVM are compared based on error types and standard performance criteria. The simulation results show 97.2% accuracy in the proposed method and better performance compared to other methods. Manuscript profile -
Open Access Article
87 - A new automatic watermarking algorithm based on Fuzzy Logic and Harris Hawks optimization
Mehdi Fallah Kazemi Arash Ahmadpour Nadia PourmahdiThis paper presents a new watermarking method to improve the robustness and transparency of extracted and host images. The embedding process is based on decomposing of pyramidal directional filter bank and triangular matrix, while the watermark extraction process is bas MoreThis paper presents a new watermarking method to improve the robustness and transparency of extracted and host images. The embedding process is based on decomposing of pyramidal directional filter bank and triangular matrix, while the watermark extraction process is based on Mamdani fuzzy logic. In this design, in order to obtain efficient robustness and transparency, the Harris hawks optimization algorithm is used to find the best value of embedding factor. For this purpose, in the embedding algorithm, pyramid directional filter bank decomposition is utilized and accordingly the approximation sub-bands are divided into 8*8 non-overlapping blocks. Moreover, by decomposing the triangular matrix, which embeds the watermark bits in the matrix element, the use of Mamdani implication and the product inference engine have led to an efficient watermark extraction. The simulation results show that the quality of the watermarked image is equal to 60.6dB. Furethermore, applying the proposed algorithm is strong against attacks. Manuscript profile -
Open Access Article
88 - Reduce spike noise from artificial aperture radar (SAR) images using Corvette conversion
Ameneh Rajabpour boshehri Ahmad KeshavarzIn this paper, an adaptive method based on carroll conversion is introduced to reduce spike noise. Speckle noise is a multiplicative impurity that in this paper we first convert to mass with a preprocessing step. An interest function is then introduced to threshold the MoreIn this paper, an adaptive method based on carroll conversion is introduced to reduce spike noise. Speckle noise is a multiplicative impurity that in this paper we first convert to mass with a preprocessing step. An interest function is then introduced to threshold the Coralt coefficients, which has three general thresholds. An objective function, based on an estimated noise correlation with the edges of the output image, then provides the optimal parameters in the threshold of the interest function by searching with a general search algorithm called the particle swarm optimization algorithm. The appropriate objective function is then considered for the PSO algorithm search and the results of speckle reduction are measured by the Violet method. Manuscript profile -
Open Access Article
89 - Introducing a new query database optimization method
Peyman Arebi Amir Masoud Bidgoli Serajodin KatebiThe grid database tries to store and scatter data over a wide geographical area in order to create a structure for storing data across the lattice environment in a distributed and heterogeneous manner. Due to the large amount of data, transaction processing in such an e MoreThe grid database tries to store and scatter data over a wide geographical area in order to create a structure for storing data across the lattice environment in a distributed and heterogeneous manner. Due to the large amount of data, transaction processing in such an environment is very complex and time consuming. Obviously, using queries without optimization will greatly reduce the efficiency of transactions in this database, while using appropriate optimization algorithms can greatly increase efficiency. Many algorithms have been proposed to optimize queries, but due to the different network environments, different optimization algorithms are needed. This paper presents an algorithm that is consistent with the structure of lattice computing and works well in lattice database systems with high data volumes. Manuscript profile -
Open Access Article
90 - Investigating the effect of external electric field on the neurotransmitters acetylcholine, dopamine, GABA, glutamate and serotonin using density functional theory method
M|ohammad Erfan Zand Mohammad Reza Bozorgmehr Mohammad Momen Heravi Safar Ali BeyramabadiToday, the nervous system is exposed to various electric fields caused by the use of various electronic devices such as mobile phones. On the other hand, the effect of these electric fields on the nervous system is not known and research in this field is important. In t MoreToday, the nervous system is exposed to various electric fields caused by the use of various electronic devices such as mobile phones. On the other hand, the effect of these electric fields on the nervous system is not known and research in this field is important. In this article, the effect of applying an electric field on some of the most important neurotransmitters of the nervous system has been investigated by the method of density functional theory. For this purpose, the structure of neurotransmitters acetylcholine, dopamine, GABA, glutamate and serotonin were optimized with B3LYP level and 6-311++G** basis function. Then electric fields with different intensities from 0.001 to 0.01 AU in steps of 0.001 were applied to them. Structural parameters and quantum descriptors such as electron affinity, ionization energy, chemical potential, hardness, electronegativity and electrophilicity of neurotransmitters were calculated. Also, the partial charge change of their constituent atoms in the presence of different electric fields was investigated. The results show that the lowest contribution of charge changes is in hydrogen atoms. In general, with the increase of the electric field, the electronegativity increased, and the chemical potential and electrophilicity decreased. Manuscript profile -
Open Access Article
91 - راهکارهای بهینه سازی برنامه ریزی نیروی انسانی
رمضان جهانیان -
Open Access Article
92 - Improving the Stability of a Power System Including SVC Based on Energy Function Minimization in a Multi-Model Optimal Coordinated Control Structure
Elaheh Pagard Shahrokh Shojaeian Mohammad Mahdi RezaeiIn this paper, the improvement of low frequency oscillation (LFO) damping in a power system including SVC is investigated. To achieve this goal, a new control strategy has been presented in which the multi-model controller is optimized using the linear optimal controlle MoreIn this paper, the improvement of low frequency oscillation (LFO) damping in a power system including SVC is investigated. To achieve this goal, a new control strategy has been presented in which the multi-model controller is optimized using the linear optimal controller (LOC) and the particle swarm algorithm (PSO). The control bank in the multi-model controller includes three LOC controllers that generate optimal signals through the linearization of the nonlinear equations of the system and the minimization of an energy function to be combined by the Bayes recursive algorithm simultaneously to the generator excitation system and SVC. In order to generate an optimal linear signal, Riccati's equation must be solved; Riccati's equation includes two weight matrices Rric and Qric. These matrices elements are optimized by PSO algorithm. The PSO algorithm has calculated the optimal Rric and Qric with two different objective functions of maximizing the eigenvalues and minimizing the area under the speed curve. To evaluate the MMC-LOC-PSO control strategy, the symmetrical three-phase error is applied to the worst bus and the results of these two objective functions are compared. The simulation of the single machine power system has been done by MATLAB. The proposed control strategy, while maintaining stability, also effectively damps the LFOs, in addition, the permanent rotor speed and rotor angle error have also been favorably pushed to zero. Manuscript profile -
Open Access Article
93 - Optimizing the Control of DFIG Based Wind Turbines Using Sensitivity Analysis and Particle Swarm Optimization Method
Meysam Jaberolansar Mohammad Mahdi Rezaei Hamed Khodadadi Seyed Mohammad MadaniOne of the key issues in the optimal operation of DFIG-based wind turbines is the optimization of relatively large control parameters that exist in these systems. However, the main problem is the high number of control parameters and the nonlinearity of the model of the MoreOne of the key issues in the optimal operation of DFIG-based wind turbines is the optimization of relatively large control parameters that exist in these systems. However, the main problem is the high number of control parameters and the nonlinearity of the model of these systems, which makes solving the optimization problem very time-consuming and divergent in some cases. In this article, in order to optimize the control parameters, a method based on particle swarm optimization (PSO) is proposed. In this method, after linearization of the system model, the eigenvalues of the system are extracted as a function of the control parameters. By examining the sensitivity of eigenvalues to control parameters, more sensitive parameters are identified and optimized based on the PSO method. The performance of the proposed method has been investigated through simulation in the MATLAB software environment. Manuscript profile -
Open Access Article
94 - Optimization of Centralized Control of Volt/Var in Transmission Systems Based on Economic Dispatch and Harmony Search Algorithm
Mohammad Mahdi Rezaei Kamal Rouhollahi Seyed Mohammad MadaniMaintaining the voltage profile of the power system within the appropriate bound has been a key factor for the proper operation of system equipment, especially during disturbances. However, due to the uncertainty of the load powers and the limitation in equipment rating MoreMaintaining the voltage profile of the power system within the appropriate bound has been a key factor for the proper operation of system equipment, especially during disturbances. However, due to the uncertainty of the load powers and the limitation in equipment ratings, achieving this goal has become a challenge. High voltage substations play an important role in voltage control, because these substations can be a primary connection point between the high voltage transmission network and the distribution system. The nature of local voltage control, the variety of control tools and the interaction between them, have made this type of control difficult. In this paper, a centralized voltage/reactive power control method is presented based on phasors measured by PMUs installed in grid substations. In this method, the tap changing of transformers and step switching of capacitor banks have been determined by the central controller based on system voltages and network equations. In addition, the appropriate values of the operating point of the generators have been carried out based on economic dispatch in each period of optimization. The consistent and efficiency of the proposed method have been investigated through simulation in MATLAB software environment. Manuscript profile -
Open Access Article
95 - Presenting an economic objective function to improve the voltage profile in distributed generation systems based on arithmetic optimization algorithm
Seyyed Vahid Ziaratnia Seyyed Abed HosseiniThe use of distributed generation (DG) systems has significant effects, such as increasing the stability of the voltage profile, reducing power losses, and solving problems related to voltage stability. This study proposes an objective function to locate and determine t MoreThe use of distributed generation (DG) systems has significant effects, such as increasing the stability of the voltage profile, reducing power losses, and solving problems related to voltage stability. This study proposes an objective function to locate and determine the optimal size in DG systems. The objective function is based on increasing the voltage profile, reducing power loss, and improving economic efficiency using an arithmetic optimization algorithm (AOA). The proposed approach uses the lowest losses and improvement of the voltage profile level after injecting power into the system in distribution networks and sub-transmission networks to determine and locate the optimal size in DG systems. This research has been implemented on an IEEE 33-bus network using AOA, and the results are compared with genetic algorithm (GA) and particle swarm optimization (PSO). The results show that the proposed approach is superior to other optimization methods in locating and determining the optimal size, power loss, and cost function in DG systems. For example, AOA has obtained more profit than PSO and GA, 33.4% and 32.8%, respectively. In particular, the results show that AOA has a higher convergence speed in finding the optimal location in DG systems. Manuscript profile -
Open Access Article
96 - توسعه الگوریتم بهینه سازی امواج آب برای حل مسائل بهینه سازی چندگانه
بنان برومند سید محمد حسین معطر -
Open Access Article
97 - کنترل نرخ بهینه شده برای کنترل ازدحام و بهبود قابلیت اعتماد در شبکه های حسگر بی سیم با کاربرد مراقبت پزشکی
Abbas Ali Rezaee Mohammad Hossein Yaghmaee moghaddamb Amir Masoud Rahmaniپیشرفت های اخیر در فناوری شبکه های حسگر بی سیم، توسعۀ سیستم های مراقبت پزشکی راه دور را ساده تر کرده و هزینه های مراقبت پزشکی از راه دور را برای بیماران و افراد مسن ارزانتر کرده است. یکی از چالشهای اصلی در شبکه ها ی حسگر بی سیم، وجود ازدحام در این شبکه هاست که باعث اتلا Moreپیشرفت های اخیر در فناوری شبکه های حسگر بی سیم، توسعۀ سیستم های مراقبت پزشکی راه دور را ساده تر کرده و هزینه های مراقبت پزشکی از راه دور را برای بیماران و افراد مسن ارزانتر کرده است. یکی از چالشهای اصلی در شبکه ها ی حسگر بی سیم، وجود ازدحام در این شبکه هاست که باعث اتلاف انرژی در گره های حسگر با باتری محدود شده و نرخ گم شدن بسته ها را بالا می برد. این امر در کاربردهای مراقبت پزشکی مانند اورژانس دارویی یا اعلام علائم حیاتی بیماران از راه دور اهمیت و حساسیت بالایی دارد. در چنین شرایطی باید بتوان حتی الامکان از وقوع ازدحام جلوگیری کرد و در صورت افزایش ترافیک و وقوع ازدحام آن را کنترل کرد. در این مقاله یک قرارداد کنترل نرخ بهینه شده برای کاربردهای مراقبت پزشکی ارائه شده است که م ی تواند قابلیت اعتماد را بالا ببرد. در قرارداد پیشنهادی با روش چند مسیرگی و تغییر مسیر در شرایط مورد نیاز ابتدا سعی در جلوگیری از ازدحام دارد؛ اما در صورت ارسال همزمان چندین فرستنده و وقوع ازدحام با الگوریتم کنترل ازدحام بهینه شده، ازدحام را کاهش بررسی OPNET می دهد و با کاهش اتلاف بسته در شبکه قابلیت اعتماد را بالا می برد. ما کارایی روش پیشنهادی را با شبیه ساز کرده ایم. نتایج حاصل از شبیه سازی نشان می دهد که روش پیشنهادی به اهداف خود از قبیل کاهش مصرف انرژی، افزایش عدالت در مصرف انرژی و کاهش تأخیر برسد. Manuscript profile -
Open Access Article
98 - Synthesis and Optimization of Human Serum Albumin Nanoparticles for Drug Delivery Application
rabi mehravar Mohsen JahanshahiAbstract In recent years, the application of protein nanoparticles has become of more and more interest to the pharmaceutical industry. In this study,Human Serum Albumin (HSA) was used for the synthesis of nanoparticles by desolvation method for application in drug deli MoreAbstract In recent years, the application of protein nanoparticles has become of more and more interest to the pharmaceutical industry. In this study,Human Serum Albumin (HSA) was used for the synthesis of nanoparticles by desolvation method for application in drug delivery system because of biodegradablity, owing to the high capacity of drug loading and nontoxiticty. Moreover, the effects of different parameters i.e. pH, HSA concentration, agitation speed, glutaraldehyde concentration, organic solvent adding rate, the ratio of organic solvent/HSA solution were examined in this research and Taguchi method with L16 orthogonal array was implemented to optimize experimental conditions. The best parameters for nanobioparticles production were obtained at pH=9, HSA concentration: 75 mg.ml-1 , ethanol adding rate: 1.5 ml.min-1 and the ratio of organic solvent/HSA solution: 4. Under these conditions, the software predicted the 46.625 nm for HSA nanoparticle size, which, in experiment 53 nm, was achieved for the nanoparticles. With respect to our study, the synthesis of human serum albumin nanoparticles was carried out for the first time and to the best of our knowledge, no reference has been found in the literature about using Taguchi method for optimization of HSA nanoparticles up to now. Manuscript profile -
Open Access Article
99 - Stable Feature Selection and Clustering According to Hierarchical Structures Based on Chaotic Multispecies Particle Swarm Optimization Applied for Genetic Data Diagnosis and Prognosis
Maryam yassi Mohammad Hossein Moattarb Mehdi YaghoobiAny abnormal reproduction of cells is a tumor. censer happens when there’s an unstrained growth of abnormal cells. Cancer and tumors are divided in to two types, malignant and benign. Given the growth in the environmental information, it’s essential to emplo MoreAny abnormal reproduction of cells is a tumor. censer happens when there’s an unstrained growth of abnormal cells. Cancer and tumors are divided in to two types, malignant and benign. Given the growth in the environmental information, it’s essential to employ some tools to analyze this data and gain the knowledge embedded in it. Since large-scale problems and huge data bases are incomprehensible for the human, employing intelligent methods is effective in understanding large-scale data better. In this paper, the integration methods are a subset of rating measures each with a specific objective of sustainable features for superior selection of distinct features.The next step would discuss creating a fuzzy system (FS) to detect and classify between benign and malignant nature of biological data. Fuzzy system type is Takagi-Sugeno-Kang (TSK). To classify a hierarchical structure of multi-species particle swarm algorithm based on chaotic particle can be used to optimize the fuzzy system. In addition, using chaotic theory discerns the true diversity of the particles and increases the power to detect and classify the samples. Accurate identification and classification of malignant and benign biological nature of the data is more than 95%. This simulation is performed on UCI and Microarray data-base. Manuscript profile -
Open Access Article
100 - شناسایی سیستمهای فوق آشوب با استفاده از مدل شبکه عصبی ELM و بهبود تخمین پارامترهای آن با استفاده از الگوریتم فرااکتشافی جستجوی فرکتالی تصادفی بهبود یافته
محدثه شکراللهی مهدی یعقوبی -
Open Access Article
101 - سیستم پیشنهاددهنده ترکیبی، تابع فراموشی، آنتولوژی، رابطه ی
negin Misagheian Mehrdad Jalali Saeed Sanoobariاخیراً سیستم های برچسب زنی مردمی به صورت روزافزون در حال افزایش یافتن و متداول شدن می باشد . این سیستم ها به کاربران اجازه میدهند منابع مورد نیاز خود را به صورت آزادانه سازماندهی، مدیریت و جستجو نمایند . از چالش های این نوع سیستمها میتوان به حجم بالای داده، دادههای نا Moreاخیراً سیستم های برچسب زنی مردمی به صورت روزافزون در حال افزایش یافتن و متداول شدن می باشد . این سیستم ها به کاربران اجازه میدهند منابع مورد نیاز خود را به صورت آزادانه سازماندهی، مدیریت و جستجو نمایند . از چالش های این نوع سیستمها میتوان به حجم بالای داده، دادههای ناسازگار، استفاده از الگوریتم های زمان بر یادگیری ماشین، زمان طولانی برای ارائه پیشنهاد به کاربر، صحت پایین در ارائه پیشنهادات و عدم قابلیت اجرا در دنیای واقعی اشاره نمود . این چالش ها سبب افزایش روزافزون تحقیقات در سالهای اخیر شده است. در این مقاله سیستم پیشنهاد دهندة ترکیبی منبعی معرفی نمودهایم که با به کارگیری اطلاعات مهم موجود در سیستمهای برچسبزنی مانند زمان و همچنین آنتولوژی موجود، صحت نتایج پیشنهادی را بهبود داده است. Manuscript profile -
Open Access Article
102 - Increasing the efficiency of solar trackers by honey bee optimization algorithm
Hadieh Sadat Hosseini Amangaldi Koochaki Masood RadmehrMost of Control systems that often used in solar trackers, use signals from the solar radiation sensorwere placed on photovoltaic panels and control mutation of panel’s motors. Since, Sun information islimited and real time measurement is difficult, the solar trac MoreMost of Control systems that often used in solar trackers, use signals from the solar radiation sensorwere placed on photovoltaic panels and control mutation of panel’s motors. Since, Sun information islimited and real time measurement is difficult, the solar tracking algorithms developed withoutadditional hardware and sensors. This paper presents a method for determining the tilt and azimuthangle trajectories based on Bee Optimization Algorithm for PVs in order to achieve maximum outputenergy. Open-loop two axis sun tracking system is considered. The results show an increasing inenergy obtained by BA compared with Differential Evolution algorithm. Manuscript profile -
Open Access Article
103 - Auto-index Selection for Data Base Using Maximal Frequent Patterns
Mohammad Hossein NadimiData access optimization is one of the most important challenges for organizations and competitive businesses therefore selecting useful index is one of the significant techniques to optimize their databases. With the creation of very large databases and consequently ne MoreData access optimization is one of the most important challenges for organizations and competitive businesses therefore selecting useful index is one of the significant techniques to optimize their databases. With the creation of very large databases and consequently need for more advanced query optimizer; database administrator role was not singly enough for finding suitable indexes in database management systems and finding indexes automatically by these systems was considered by researchers in this field. So far several techniques such as data mining techniques are proposed for finding indexes automatically. However there is a challenge in using data mining techniques, whether all indexes have been found are useful and necessary or not? Obviously creating unnecessary indexes is costly in terms of time and memory. For solving the problem, in this research has been proposed an effective way using Maximal frequent Pattern to reduce time for finding indexes automatically. Also in the proposed method using the allocated proper weight to the patterns which have been found, unnecessary indexes are not created. The proposed method like previous works is evaluated on standard data and queries by several experiments, considering the TPC-H benchmark assessment. Test results show that the automatic creation of required indexes using the proposed method compared to the previous method, which makes use of frequent patterns is less time required. Manuscript profile -
Open Access Article
104 - Agility Agents In Supply Chain of Educational Organizations Using Particle Swarm Optimization Algorithm
Abbass Toloie Ashlaghi shahrzad tayaran Reza Radfar Alireza PourebrahimiThe increasing speed of technological change, on the one hand, and the changing nature of customer demand and the intensification of competition among organizations, on the other hand, have led organizations to seek to take on new competitive advantages to outperform co MoreThe increasing speed of technological change, on the one hand, and the changing nature of customer demand and the intensification of competition among organizations, on the other hand, have led organizations to seek to take on new competitive advantages to outperform competitors and better meet customer needs. Achieving such goals comes in the context of a new concept called "organizational agility," but agility of the organization is influenced by its agents, which are the most influential factor in service companies. In this research, which the University of Science and Research has proposed as a case study, the employees are divided into three categories: Soft, Grievous, and Blind. These factors determine the three main elements of the agility of the supply chain organization: Agility drivers, agility abilities and agility capability. Also, using a particle swarm optimization algorithm, an intelligent model has been designed to measure the impact and impact of factors on each other. And after implementing the model in a case study at Time = 769, recovery is at best possible. Manuscript profile -
Open Access Article
105 - Presentation a model for crediblistic multi-period portfolio optimization model whit bankruptcy control
snoor modaresi farshid kheirollah mehrdad ghanbari babak jamshidinavidIn this research, a mathematical model has been presented for optimizing multi-period portfolios with a bankruptcy control approach. The goals of optimizing the multi-period portfolios include: 1- maximizing the expected outflow of the investor 2- Minimizing accumulated MoreIn this research, a mathematical model has been presented for optimizing multi-period portfolios with a bankruptcy control approach. The goals of optimizing the multi-period portfolios include: 1- maximizing the expected outflow of the investor 2- Minimizing accumulated risk 3- Minimizing the uncertainty of the portfolio''''s returns during the investment period, that achievement of these three objectives has been evaluated by two limits of bankruptcy control and the maximum and minimum adjustments of investment amounts during the investment period. The Hybrid Particle Swarm Optimization (Hybrid PSO) algorithm has been considered as the proposed solution for solving the model and a practical example has been presented to illustrate the application of the proposed model, which includes a portfolio with 17 different types of stocks from the companies listed in Tehran Stock Exchange For the three-year period from 2014 to 2016, the daily returns of these companies have been used as inputs for the model. Three different modes for the weights of the goals of optimizing the portfolio of multi- period portfolios have been determined using the sensitivity analysis table. In the end, the state of investment, which the investor equates to all three goals of optimizing the weight, has been the most suitable state for optimizing a multi-period of portfolios. the results has been compared with other algorithms Experimental results have shown that the algorithm proposed by this research for solving the model has been more appropriate than other algorithm. Manuscript profile -
Open Access Article
106 - Closed loop supply chain network design under uncertainty
Reza Yousefi Zenouz Farzad Haghighi rad sajad zakeritabarClimate change and environmental impacts of economic activities, have forced supply chains to implement green policies and reduce environmental impacts and destruction to achieve competiete advantage. One approach to achive simultaneously to the economic and envitonment MoreClimate change and environmental impacts of economic activities, have forced supply chains to implement green policies and reduce environmental impacts and destruction to achieve competiete advantage. One approach to achive simultaneously to the economic and envitonmental objectives is to design closed loop supply chain networks (CLSCN) that integrate reverse logistics into their forward paths. In this paper, a bi-objective mixed integer linear programming model was developed for the CLSCN problem. The first objective is to minimize the cost function and the second objective function tries to minimize the time of transferring products from manufacturers to the distributors. Lp Metric and ε -constraint methods were utilized to solve the model. A numerical example was presented to show the applicability of the model and also sensitivity analysis was done. In this model two parameters of cost and demand are uncertain, in order to deal with uncertain parameters a robust optimization approach was utilizec. Multi objective particle swarm optimization (MOPSO) was used to solve the model in lare scales ad the solutions were compared with the solutions that obtained by exact methods. the findings of this research can help decision makers and executives to design efficient closed loop supply chains. Manuscript profile -
Open Access Article
107 - Presentation of a Model to Optimizing a Beverage for Iranian Airlines Customers with Penalty Analysis
Alireza Fayazi Abdullah Naami Reza AghamusaThe competitive nature of the air transport industry has made it a high priority for customer satisfaction. Providing the right services in the airline is also a key factor in customer satisfaction. The main part of the service is the in-flight service, which is one of MoreThe competitive nature of the air transport industry has made it a high priority for customer satisfaction. Providing the right services in the airline is also a key factor in customer satisfaction. The main part of the service is the in-flight service, which is one of the most important features of drinks and food. Therefore, the purpose of this study is to present a beverage product optimization model for Iranian Airlines customers. Accordingly, in this study, the basic product presented in order to extract the features that from the customer's point of view need fixing or modification was evaluated with the central test product approach. For this purpose, 130 judges over 10 years old with long-range flight experience were first selected. After testing the product, they expressed their views on 13 Jar-type product characteristics and overall product interest in the questionnaire. . Then the data were analyzed by Fine Analysis method using XLSTAT software. The results show that the characteristics of pickling, concentration and carbonation are out of reach of the customers and should be improved. The research findings help the research and development unit of the beverage company to finalize the optimum product that is in line with market preferences and customization by manipulating the compounds and tailoring these three characteristics; and, thus, Iranian airlines gain the competitive advantage through serving it Manuscript profile -
Open Access Article
108 - Provide a system dynamics model for optimizing multi-objective production-inventory-routing in the green supply chain under conditions of uncertainty
Katayoun Naderi Roya M.ahari Javid Jouzdani Atefeh AmindoustThis study examines the cost, customer satisfaction and environmental protection to design a multi-objective optimization model using system dynamics and to provide a system dynamics model for multi-objective production-inventory-routing in the green supply chain under MoreThis study examines the cost, customer satisfaction and environmental protection to design a multi-objective optimization model using system dynamics and to provide a system dynamics model for multi-objective production-inventory-routing in the green supply chain under uncertainty. Considers.By customer demand for several periods, the model can make decisions by focusing on decisions such as the choice of supplier and retailer according to the distance between them, production models and the nascent level of transportation technology. For this purpose, to collect information, first using previous studies, the variables affecting the model (20 variables) were determined, then according to the experts, these variables were analyzed, then the relationships between the selected variables using the model. Cause and effect were identified and then the research modeling was completed by designing a system dynamics model and evaluating it through tests defined by execution in vensim software. Finally, three scenarios were developed to determine the strategies affecting the model. The results indicate the most effective strategies in achieving the desired situation, maximum customer satisfaction, minimum cost and inventory and maximum production with proper implementation of ongoing projects in the direction of green production using appropriate technical knowledge. Manuscript profile -
Open Access Article
109 - Designing a Multi-Product Supply Chain Model Despite Disruption in the Supplier With A Stable Mathematical Optimization Approach in Refinery Maintenance Industries
Amir Rahimimanesh Hamzeh Amin-Tahmasbi Kambiz ShahroudiThe supply chain network design problem includes strategic decisions that significantly impact tactical and operational configurations and decisions. The purpose of this research is to provide a multi-product supply chain model that addresses supplier disruptions throug MoreThe supply chain network design problem includes strategic decisions that significantly impact tactical and operational configurations and decisions. The purpose of this research is to provide a multi-product supply chain model that addresses supplier disruptions through a mathematical optimization approach. In line with multi-product supply chain management, there is a need to supply items and raw materials for use in processes, and the supply of these items is subject to uncertainty. Specifically, suppliers may not provide part of the ordered demand to the customer at the required time. To address this uncertainty, two types of suppliers are considered. The first category consists of cheap but unreliable suppliers, while the second category includes reliable suppliers who are more expensive than the first. Items received from suppliers are used in the production or repair process, and a documented model should be provided to manage this process. To integrate these decisions into a cohesive model, previous articles have utilized a random two-stage decision-making model, employing the sampling average approximation method to solve the proposed problem. In this research, due to the dependence of the random two-stage model on non-deterministic parameters (or the worst-case scenario), a robust mathematical model has been developed for the two-stage random model. Finally, the stable model provides the decision-maker with the opportunity to choose the parameters according to the degree of importance of each component. Manuscript profile -
Open Access Article
110 - Using Fuzzy Mathematical Programming to Design Portfolio Optimization Model (Case Study: Melli Bank Investment Co.)
Farhad Vafaei Sobhan Letafati Omid ArdalanOptimization has always been considered as a major problem by the human being and it has made him go a way to get him the most benefit according to the available sources limitations. Also, it would help him through encountered decisions to benefit from the various scien MoreOptimization has always been considered as a major problem by the human being and it has made him go a way to get him the most benefit according to the available sources limitations. Also, it would help him through encountered decisions to benefit from the various sciences and technologies in this way. In this research, portfolio optimization problem, respecting its importance in securities market as the leading axis of country's financial system and its duty in allocating the optimal system and investors from one side and the demand for more return and less expected risk on the other side are investigated. Also, a model in fuzzy position was designed in the particular way which it brings on the least expected return for investors while minimizing the risk gets regarded. It also took the multi-objective decision-making methods. This paper, having done the modeling, aims at studying the portfolio of Melli bank Investment Corporation as a case study. Manuscript profile -
Open Access Article
111 - Solving Resource-Constrained Project Scheduling Problem with Particle Swarm Optimization (Case Study: Bandar Abbas Gas Condensate Refinery)
Mohammadhusein Nabizadeh Huseinali Hasanpoor Roozbeh Azizmohammadi Navid HashtroodiOne of the issues considered by the projects responsible especially project managers is the execution of project activities according to time schedule. The very difficult nature of that issue is also another reason for the researchers to take much note of it. Therefore, MoreOne of the issues considered by the projects responsible especially project managers is the execution of project activities according to time schedule. The very difficult nature of that issue is also another reason for the researchers to take much note of it. Therefore, there are especial techniques and methods to solve those issues. Also, project managers pay much attention to the stability of the time schedule as it is important for them. This paper is provided with a real project time schedule for a refinery by using stable time schedule. Particle swarm optimization algorithm is suggested to resolve the problem since the project time schedule has resources limitation including NP- Hard. In order to accesses the validation of the model, 4 issues with small scales has been selected and the results from the suggested algorithm was compared with the accurate result obtained from lingo software. These results indicate that the suggested algorithm is effective and convergent with the optimized result. Manuscript profile -
Open Access Article
112 - Bi-Objective Hybrid Flow Shop Scheduling With Pareto Approximation in a Specified Region
Seyed Mostafa MousaviThis paper studies the production scheduling problem in a hybrid flow shop environment with sequence-dependent setup times and the objectives of minimizing both the maximum completion time and the total tardiness. In the past, bi-objective problems were solved by findin MoreThis paper studies the production scheduling problem in a hybrid flow shop environment with sequence-dependent setup times and the objectives of minimizing both the maximum completion time and the total tardiness. In the past, bi-objective problems were solved by finding Pareto approximation in the entire problem space (without any restrictions). The limitation in this study is to find Pareto approximation in a specified region. In order to solve the problem, multi-objective genetic algorithm based on Pareto ranking has been used. In the structure of the algorithm, two strategies have been proposed in order to select solutions for archiving and produce Pareto in a certain region. After generating sample problems, the genetic algorithm has been implemented with three strategies (two proposed and one general strategy in literature). The appropriate strategy is based on efficient solutions in the archives. The results reflect the fact that the proposed strategies have shown better performance than the literature strategy. Manuscript profile -
Open Access Article
113 - Multi-objective Portfolio Optimization Model by Fruit Fly Optimization Algorithm
Amir Amini alireza alinezhadOne of the most famous optimization problems in the field of financial engineering is portfolio selection problem. In its simplest form, while trying to minimize risk in the portfolio selection according to defined constraints such as budget and integer constraints it d MoreOne of the most famous optimization problems in the field of financial engineering is portfolio selection problem. In its simplest form, while trying to minimize risk in the portfolio selection according to defined constraints such as budget and integer constraints it deals with selecting a basket of various assets. Generally, investors prefer to invest in some assets rather than investing in only one asset to reduce unsystematic risk by diversifying their investment. Complex computational models have been developed to solve this problem and there is not an optimal solution for many of them. In this paper, a new and innovative approach known as fruit fly optimization algorithm (FOA) is used for multi-objective problem solving based on mean-variance Markowitz problem with class and cardinality constraints. Fruit fly optimization algorithm is a new way to find the overall optimal solution based on the behavior of the fruit fly in finding food. So far, few studies have been done on this algorithm and almost none of them used this algorithm for portfolio optimization problem. The results indicated the better comparative performance of the algorithm compared to the genetic algorithm for data set of Tehran stock exchange.JEL classification: G1, P5, O3 Manuscript profile -
Open Access Article
114 - Developing an Optimization Algorithm for Multi-product and Multi-level Inventory Systems with Random Parameters
Fariborz Jolai Sayyed Mohammad Reza Davoodi Ali Mohaghar Mohammad Reza MehreganThe present study aimed to develop and compare a simulated model of multi-product and multi-level inventory systems. The model is developed for the final product, different medium products, and the main product. The main purpose of optimization is to minimize costs func MoreThe present study aimed to develop and compare a simulated model of multi-product and multi-level inventory systems. The model is developed for the final product, different medium products, and the main product. The main purpose of optimization is to minimize costs function. The servicing level of units is measured through backfilling rate that should be more than a minimum level. In the proposed algorithm, the local optimization was found through the genetic algorithm. Since point estimation of goal function and backfilling rates are done on the simulation in the present study based, the statistical methods were used for investing possibility of solutions. Finally, one example was presented in the three-level network. Because linear localization is an especial form of second-order localization, the difference between goal function and estimated volume was at the minimum level. Undoubtedly, it is expected that the estimated point of this algorithm is better than the estimated point of linear localization. Manuscript profile -
Open Access Article
115 - Optimization of the shell and tube heat exchanger with perforated quatrefoil plate using the meta-heuristic algorithms
seyed iman hashemi marghmaleki hadi eskandariIn this research, the thermal and hydraulic characteristics of the shell side of the shell and tube heat exchanger with perforated quatrefoil plate are optimized by a gray wolf and genetic algorithms in a single-objective multi-objective manner. The objective functions MoreIn this research, the thermal and hydraulic characteristics of the shell side of the shell and tube heat exchanger with perforated quatrefoil plate are optimized by a gray wolf and genetic algorithms in a single-objective multi-objective manner. The objective functions are heat transfer capacity for the maximum value and pressure drop for the minimum value. Shell and tube heat exchanger variables for optimization are: the diameter and number of tubes, the Reynolds number, the distance between baffles, and the height of the quatrefoil hole. The results show that for the maximum heat transfer of the quatrefoil baffle, the tube diameter is 0.03 m, the number of tubes is 30, The Reynolds number is 20000, the height of the perforated hole is 0.0018 m, and the distance between the baffles is 0.15 m. For the lowest pressure drop value, the diameter of the tubes is 0.03 m for the square arrangement and 0.01 m for the triangle arrangement; the Reynolds number is 5000, the height of the perforated hole is 0.003 m, and the distance between the baffles is 0.25 m. The optimization by the gray wolf and genetic algorithms has the same results for the shell and tube heat exchanger with a quatrefoil baffle. Manuscript profile -
Open Access Article
116 - Power and weight optimization of spur gears using metaheuristics and finite element method
Mohammad Sadeghi Ali SadollahGearing is one of the most efficient methods of transmitting power from a source to its application with or without change of speed or direction. In this paper, a spur gear model is optimized aiming to maximize its transmission power and minimize its weight. Several des MoreGearing is one of the most efficient methods of transmitting power from a source to its application with or without change of speed or direction. In this paper, a spur gear model is optimized aiming to maximize its transmission power and minimize its weight. Several design variables named as transmitted power, number of pinion teeth, modules, and thickness of gears have been considered during optimization process. For the sake of optimization, two developed metaheuristics named as water cycle and neural net-work algorithms have been examined using MATLAB programming language platform. Besides, obtained optimization results have been validated and analyzed using well-known commercial computer aided engineering software ANSYS. Based on the ob-tained optimization results, optimum design has been found using optimizers and in terms of engineering analysis good agreement has been observed between the applied finite element approach. Manuscript profile -
Open Access Article
117 - Performance analysis and optimization of 6-DOF Hunt type parallel robot
erfan mirshekari َAfshin GhanbarzadehIn this research, Hunt type 6-DOF parallel robot is optimized based on kinetostatic performance indices and the effect of geometrical parameters on these indices is investigated. For this purpose, structural and geometrical parameters of Hunt type parallel robot are int MoreIn this research, Hunt type 6-DOF parallel robot is optimized based on kinetostatic performance indices and the effect of geometrical parameters on these indices is investigated. For this purpose, structural and geometrical parameters of Hunt type parallel robot are introduced. in order to determine the relationship between joint angle values and end effector coordinates, inverse kinematic is obtained. Jacobian matrix is developed to map velocity from joint space to Cartesian space. Manipulability, force manipulability and condition number are considered as indices to evaluate the robot performance. By defining the fitness functions, constraints and boundaries of geometric parameters, the optimized parallel robot structure is obtained using the multi-objective bees algorithm. A set of robot geometric parameters is presented, each of which has the best performance based on one of the indices. Also, a robot with specific geometric parameters is selected, which is suitable based on almost all performance indices. Finally, the effect of end effector movement on robot performance is investigated. Manuscript profile -
Open Access Article
118 - Management of energy consumption in buildings using renewable materials and new materials in hot and dry climates
seyed esmaeil sadati saeed moghimi mahdi ezadiSaving energy is one of the most important challenges in the world today. In recent years, growing concerns about the environmental consequences of energy consumption and global warming have doubled in importance. On the other hand, the share of the construction sector MoreSaving energy is one of the most important challenges in the world today. In recent years, growing concerns about the environmental consequences of energy consumption and global warming have doubled in importance. On the other hand, the share of the construction sector in the energy consumption of countries is significant and for this reason, in recent decades, in most industrialized countries, basic measures have been taken to improve consumption patterns, using various tools such as regulations. One of the most important energy consumed is electrical energy, which is one of the most basic energy sources of buildings and plays an important role. The complex problems and processes of electricity generation and transmission, the pollution generated by the production of fossil fuels, and other cases have prompted researchers to seek solutions to reduce energy consumption or, in other words, optimize energy consumption. In this study, some practical solutions to move towards energy saving have been investigated and the effect of using materials with different heat transfer coefficients in external walls according to Semnan weather conditions on the modeled building and to analyze the cooling and heating load of the building. Compared with renewable materials. Finally, the external wall, using a 20 cm straw block, has reduced the annual energy consumption compared to perforated pottery, autoclaved concrete, and Article 19 of the National Regulations has resulted in 3%, 0.6%, and 2.76%, respectively. Manuscript profile -
Open Access Article
119 - Optimization of energy consumption in methanol unit using pinch technology and modification of heat exchanger arrangement
Payam Barzegar Amin Ahmadpour Hamid Kazemi Esfeh Mohammad Sharei S.M. PeyghambarzadehThe main goal of this paper is the use of pinch technology and revision in heat exchanger network layout to optimize energy consumption in a methanol unit of a petrochemical company. First of all, the process flow diagrams (PFD) and the current state of the heat exchang MoreThe main goal of this paper is the use of pinch technology and revision in heat exchanger network layout to optimize energy consumption in a methanol unit of a petrochemical company. First of all, the process flow diagrams (PFD) and the current state of the heat exchangers network were studied. Then, the necessary data were analyzed, process heat exchangers and their characteristics were compiled and the physical properties of the streamlines at different temperatures were calculated. Then, the target network was distinguished and the network was modified and pinch analysis was performed using ASPEN HYSYS software and ASPEN ENERGY ANALAYZER software. Finally, different scenarios based on pinch analysis were compiled and feasibility, computational, process and operational analysis was performed. Finally, by calculating energy efficiency in each scenario, only one scenario was selected and introduced as the best scenario. According to the selected scenario, the E-1001exchanger, which uses low pressure steam to heat the incoming feed gas, is transferred to another location in order to not only reduce the steam consumption, but also reduce the unit's power consumption by reducing the air fan load. The profit from this scenario was approximately equal to 1.5 billion tomans per year. Manuscript profile -
Open Access Article
120 - Intelligent Identification of Centrifugal Pump Damage by Combining Methods Independent Component Analysis and Particle Swarm Optimization
Mohammad sadegh Aalaei Mehdi ShekarzadehDue to the progress of technical and engineering sciences and the more complex equipment and machinery in recent years, the maintenance and repair technology based on condition monitoring and defect estimation, under different titles such as performance-based logistic ( MoreDue to the progress of technical and engineering sciences and the more complex equipment and machinery in recent years, the maintenance and repair technology based on condition monitoring and defect estimation, under different titles such as performance-based logistic (PBL) and condition-based maintenance (CBM) is considered. These methods are used to prevent human and financial losses and to increase the production rate. This thesis presents an intelligent troubleshooting system to diagnose centrifugal pump-bearing faults. As a result, to design this intelligent troubleshooting system, a test set including shaft, bearings and real support conditions was designed and implemented in the laboratory. In this setup, three bearings with Normal wear and fault conditions (defect on the outer race) were examined, and vibration data were obtained. Then, the vibration data in extraction time and statistical features were calculated. After that, these features were used as classifier input data for intelligent troubleshooting. To identify the defect, the independent component analysis method was used. Also, the accuracy of fault detection was improved by using the particle batch optimization method. Finally, it was found that the statistical feature of Percentile can detect bearing defects by combining independent component analysis and particle swarm optimization methods. Manuscript profile -
Open Access Article
121 - Particle swarm optimization in optimal control problems for Car on a constrained piecewise affine hill
Ahmad Kia Kojouri Javad MashayekhiFardIn spite of all the Demonstrate Prescient Control (MPC) based arrangement preferences such as ensuring soundness, the most impediment such as an exponential development of the number of the polyhedral locale by expanding the expectation skyline exists. This causes an in MoreIn spite of all the Demonstrate Prescient Control (MPC) based arrangement preferences such as ensuring soundness, the most impediment such as an exponential development of the number of the polyhedral locale by expanding the expectation skyline exists. This causes an increase in the computation complexity of control law. In this paper, we consider the arrangement to ideal control issues for constrained piecewise affine systems based on demonstrating predictive control. After that, we utilize particle swarm optimization calculation to complexity diminishment of arrangement and alter the framework execution. In truth the point of the paper is twofold. To begin with, we consider the hypothetical comes about on the structure of the control law. At the minute, we portray how the complexity of deciding control law can be capable of decreased and moving forward system execution at the same time by utilizing particle swarm optimization. The considered calculation is associated with a Car on a constrained piecewise affine hill and the result is shown to the advantage of our analysis. The objective of the car is to climb to the top of a steep slope and then preserve its position at the top (the beginning), without falling from the piecewise affine environment. The number of control law polyhedrals diminishes from 129 to 25. Manuscript profile -
Open Access Article
122 - Urban policy to optimize energy consumption with regard to natural ventilation (Case study: optimal orientation of residential buildings based on the angles included in the detailed plan of Shiraz city)
Tahereh Nasr Arash BostanianIn recent decades, urban policy-making has been raised as a significant and scientific topic in major cities of the world, and it has received several attentions from urban studies. One of the topics that is not paid attention to in climate approaches, especially in sus MoreIn recent decades, urban policy-making has been raised as a significant and scientific topic in major cities of the world, and it has received several attentions from urban studies. One of the topics that is not paid attention to in climate approaches, especially in sustainable architecture, is the consideration of solar energy in buildings, but a lot of attention to solar energy has unfortunately caused that to some extent other renewable energies such as Wind energy and its significant impact on natural ventilation are passively neglected. Paying attention to this case can be taken into consideration by the officials in order to pay attention to the optimization of energy consumption in urban policy making. One of the effective solutions in this field is the use of natural ventilation in residential buildings, determining a suitable direction for creating blinds and receiving wind with positive pressure and benefiting from this influential climatic element in the interior spaces of the building. In this research, an attempt was made to investigate and simulate natural ventilation conditions in residential buildings in Shiraz using Vasari energy simulation software, and parameters such as wind speed, wind direction, wind temperature, and other influencing factors were investigated. and be analyzed. According to the results of the simulation and examination of the twenty-year average of the climatic indicators of Shiraz city, it can be said that if the issues related to natural ventilation and the creation of blinds in the building are considered and the optimal orientation angle can be obtained from solar energy and Also, use wind energy to reduce the load on the building's mechanical facilities throughout the year. that the optimization of energy consumption has been done and in the scale of residential buildings in the metropolis of Shiraz, it can lead to the reduction of fossil fuel consumption to a significant extent. Manuscript profile -
Open Access Article
123 - Artificial Neural Networks Models for Rate of Penetration Prediction in Rock Drilling
Naser Ebadati‎ Mehrab ‎ AziziBased on field data, there are various methods to reduce the cost of drilling wells. One of these methods is to optimize the drilling parameters to obtain the maximum rate of penetration (ROP). Many parameters affect ROP. The main purpose of this research is the use of MoreBased on field data, there are various methods to reduce the cost of drilling wells. One of these methods is to optimize the drilling parameters to obtain the maximum rate of penetration (ROP). Many parameters affect ROP. The main purpose of this research is the use of smart networks for the penetration rate of drilling, for this purpose, well input data including drilling depth, duration of the drilling operation, speed of rotation of the drill, weight on the drill, weight and volume of drilling mud as input data. And the drilling penetration rate was prepared as output data from one of the fields located in the Persian Gulf. 70% of data is allocated for network training, 15% of data for validation and 15% of data for sensitivity analysis. According to the obtained results, it was found that using this tool, a good relationship with the total regression coefficient (0.96) is obtained for predicting the penetration rate using a neural network. Also, by repeating the calculations in repetition 12, the best value was obtained, which is equal to 14.24. Manuscript profile -
Open Access Article
124 - Artificial Neural Networks Models for Rate of Penetration Prediction in Rock Drilling
naser ebadati Ronak Parvaneh Mehrab AziziBased on field data, there are various methods to reduce the cost of drilling wells. One of these methods is to optimize the drilling parameters to obtain the maximum rate of penetration (ROP). Many parameters affect ROP. The main purpose of this research is the use of MoreBased on field data, there are various methods to reduce the cost of drilling wells. One of these methods is to optimize the drilling parameters to obtain the maximum rate of penetration (ROP). Many parameters affect ROP. The main purpose of this research is the use of smart networks for the penetration rate of drilling, for this purpose, well input data including drilling depth, duration of the drilling operation, speed of rotation of the drill, weight on the drill, weight and volume of drilling mud as input data. And the drilling penetration rate was prepared as output data from one of the fields located in the Persian Gulf. 70% of data is allocated for network training, 15% of data for validation and 15% of data for sensitivity analysis. According to the obtained results, it was found that using this tool, a good relationship with the total regression coefficient (0.96) is obtained for predicting the penetration rate using a neural network. Also, by repeating the calculations in repetition 12, the best value was obtained, which is equal to 14.24 Manuscript profile -
Open Access Article
125 - Optimizing the conjunctive use of Surface and underground water resources and its impact on the environment (Case Study of the central city of Gorgan
MAHMOOD ZAKERINIRI SEYIDERFAN HOSSINI SEYIDEMAD HOSSINI ATA OLLAH NAJAFI JEILANIAn integrative operating system consists of a surface water subsystem and groundwater subsystem. To satisfy water demands, these subsystems interact with each other. They will act as two parallel tanks that they can use each other's storage volume through sending the op MoreAn integrative operating system consists of a surface water subsystem and groundwater subsystem. To satisfy water demands, these subsystems interact with each other. They will act as two parallel tanks that they can use each other's storage volume through sending the operating commands. This paper presents a simulation-optimization model for designing dimensions as a mass form whose components include periodic series.For more accurate results, water status relating to two years with eight seasons, in the first year, the amount of water was more than the second year, have also been studied. In this method, simulation method is placed in optimized model so that it forms a simulation-optimization model. The results, which were based nonliner programming, revealed that release from the dam reservoir will not necessarily be similar to non-consolidated model. Also based on the other results, we can refer to the optimized design of model components such as dams and wells and optimal usage command. Manuscript profile -
Open Access Article
126 - Optimization of environmental additional sampling using spatial simulated annealing in Sepahan-Shahr area.
Saeed Soltani Maliheh Abbaszadeh Ardeshir HezarkhaniOptimization of sampling scheme is one of the important and attractive issues for geo-statisticians andgeochemists. So far, various methods have been presented for optimization of sampling location (initial andadditional samples). In this article, it is tried to optimiz MoreOptimization of sampling scheme is one of the important and attractive issues for geo-statisticians andgeochemists. So far, various methods have been presented for optimization of sampling location (initial andadditional samples). In this article, it is tried to optimize the location of additional sampling in environmentalstudies of Sepahan-Shahr area, by simulated annealing method. In Sepahan-shahr area, adjacency to pollutantfactor (Irankooh mining area), in addition to the winds blowing whole the year from the side of this mine; haveincreased the pollution potentiality of the area. In this article, it is tried to optimize the location of additionalsampling on the basis of the data obtained from initial samplings. For this purpose, objective function has beendefined as “estimation variance minimization”, and simulated annealing optimization method has been used forsolving this optimization problem. All the codes related with computation of objective function are prepared byMatlab software. Additional sampling proposed by this method will result in reduction of average estimationvariance of the area from 0.34 to 0.22, which is the highest reduction of estimated uncertainty possible to makein the results of 20 additional samples. Manuscript profile -
Open Access Article
127 - Comparative study of analytical methods in geochemical data optimization, Ghoulan area, E-Azarbaijan
حمید SHahinfarDetection of optimized geochemical patterns requires Orientation Survey (O.S.) in which one of its importantlayers is selecting an effective data analysis method.In order to detect favorable potentials in Ghoulan area, discrimination of mineralized and blind ore zones u MoreDetection of optimized geochemical patterns requires Orientation Survey (O.S.) in which one of its importantlayers is selecting an effective data analysis method.In order to detect favorable potentials in Ghoulan area, discrimination of mineralized and blind ore zones usingadvanced techniques with presenting a suitable geochemical pattern and relative pathfinders is the scope of thisstudy. In this respect, 233 stream sediment samples were collected from the area and analyzed for base metals(Cu, Mo, Cr, Co, Ni, Pb, Zn, As, Y …) and their indicator elements.The anomalous zones in the area were detected using two systemic methods such as principal componentanalysis (PCA) and Fractal (F) methods. Application of F method on geochemical data leads to detection of twoanomalous zones of Cu in Gharachilar and W-Loutkeh, with Mo appearance in Namnigh. The separation ofthese two anomalous zones (Cu& Mo) probably is due to acidity of area formed by solubility of sulphides fromoutcrops and migration of Mo in the form of molibdate which caused the precipitation of Cu and Mo in twodifferent zones.The results show that both methods (F&PCA) have similar detection zones but the capability of PCA inenhancement of halos and detection of blind ore zones is more effective than F method. As in this case, it coulddetect strong blind anomalous zone of Mo in Namnigh in addition to Cu & Mo trend. Overall, thecharacterization of methods also revealed that the PCA is more reliable in rejecting the syngenetic effects and theresults can be more precisely used in the area. Manuscript profile -
Open Access Article
128 - Optimization of groundwater level monitoring network in Tabriz plain using geostatistics
Faeze Foroghi mohsen RezaeiIn this paper, geostatistical methods has been used for optimization of groundwater observation wells network inTabriz plain, North West of Iran. Existing network of observation wells in Tabriz plain have been formed of154Wells and the distribution is not optimal. Data MoreIn this paper, geostatistical methods has been used for optimization of groundwater observation wells network inTabriz plain, North West of Iran. Existing network of observation wells in Tabriz plain have been formed of154Wells and the distribution is not optimal. Data of existing observation wells network and also quality andquantity network is used in order to optimization. By Comparison of different geostatistical models, forsimulation of water level changes in Tabriz plain and choosing the best model, three methods of reduce, increaseand change in the location of wells was followed to optimize existing network. The results showed that byreducing the number of wells to 64%, Water levels in areas without information can be estimated withreasonable accuracy. Increasing the number of wells did not improved statistical criteria, but change in thelocation of some wells causes increase of accuracy of kriging fitted to the data. Manuscript profile -
Open Access Article
129 - A review on exergy analysis in different energy sectors
mohamad amin sadeghi Abdollah Khalesi Doost.Limitation of energy resources in all over the world has forced countries to evaluate policies which is related to energy as well as taking some steps to prevent waste of energy. In developing countries using economized device and new techniques in order to improving u More.Limitation of energy resources in all over the world has forced countries to evaluate policies which is related to energy as well as taking some steps to prevent waste of energy. In developing countries using economized device and new techniques in order to improving utilization (efficiency) has been noticed. First law of thermodynamics states conversion of energy during a process, but the second law deals with energy quality, entropy generation, lost opportunities for doing work. Moreover it satisfies improving of qualities. Second law of thermodynamic is a valuable tool for optimizing complex thermodynamic systems. Exergy is a defined parameter to investigate potential of work. Maximum or minimum exergy is available entropy of effective (efficient) work from a system which reaches from one condition (status) to another one, in a specific process. In this study attempts have been made to review formers researches in optimization of different sectors of energy thoroughly. Manuscript profile -
Open Access Article
130 - The effect of the type of objective function to detect damage on the cracked beam clamped to multi-objective optimization methods
javad kheyroddin ehsan jamshidi alireza arghavanOne of the most important issues that is widely industry, monitoring the situation. To work with this system defects before he could create serious problem and known to tackle it. Damage in two ways: existent malicious and nondestructive and from where the solution with MoreOne of the most important issues that is widely industry, monitoring the situation. To work with this system defects before he could create serious problem and known to tackle it. Damage in two ways: existent malicious and nondestructive and from where the solution with less cost, so this method is more. One of the methods of identifying damage nondestructive ,methodology Modal parameters structure in this way is to investigate the changes Modal parameters, such as the natural frequencies and modes form before and after the damage to seek the site and levels of damage in are structures and damage to find with a wide range of response so a lot of research hit optimization techniques used in solving the problem for considering the dynamic parameters and changes in the structure that objective functions is considered to be optimized for them , and the amount of damage to the desired effectively The study by using the method of genetic algorithm to examine the structural damage, with regard to the presence of various target functions, first as a single point, and the accuracy of the response to the parameters for change in the algorithm sensitivity analysis, and then paid using various target functions and optimized genetic algorithm multi-purpose of the appropriate response is obtained. Manuscript profile -
Open Access Article
131 - A review on energy modeling of buildings by use of Energy plus software
Mohsen Rasooli نادر رهبر Mohsen ghoreishi nejadUse of energy is increasing due to creating a comfortable environment in the buildings. So investigating all approaches related to using energy or saving should be considered before implementing each plan. One of the methods for measuring the rate of energy is use of mo MoreUse of energy is increasing due to creating a comfortable environment in the buildings. So investigating all approaches related to using energy or saving should be considered before implementing each plan. One of the methods for measuring the rate of energy is use of modeling plans for using of energy. In this research we could review energy plus in different buildings. In these buildings , we have used of the result as monthly or annually due to saving cost. Also we could combine these approaches as energy reduction methods or advanced air conditioning systems and renewable energy. These results show energy performance based on software plans which should be considered in accordance with ASHRAE standard. Manuscript profile -
Open Access Article
132 - Study of Effective Parameters on Velocity of Projectile Using
ساسان امینیان دهکردی امین کلاهدوز محسن لوح موسویelectromagnetic force is One of the fundamental forces and it is widely used in industry . the use of the electromagnetic force is different for example it can use for Electric engine , Contactor , etc. if it increase can use electromagnetic force in Forming , assemble, Moreelectromagnetic force is One of the fundamental forces and it is widely used in industry . the use of the electromagnetic force is different for example it can use for Electric engine , Contactor , etc. if it increase can use electromagnetic force in Forming , assemble, welding and Acceleration . Acceleration and To speed up of thing is newest Application , when object is in intense field and magnetic moment that is causing the acceleration and speed So this energy is Clean and quite for use to acceleration of airplane , projectile and etc. to do this research at first electromagnetic source was build then with study about effective parameters, chose wire diameter , length of coil , number of layer and tube material .use final element method (J-Mag and Abaqus ) for parameters impact on the theory. The final element test and experimental test had a good match. For analysis the output( velocity ) use minitab program. As result the coil with maximum layer and 150 mm length with wire diameter 2 is the best coil and high speed was achive with this coil and it about 431m/s. Manuscript profile -
Open Access Article
133 - Optimization of Reactor’s Temperature and Catalyst Weight in Polymeric Waste Fuel Conversion Process
سیدحسین هاشمی سیدعبدالرسول هاشمی محمود دین محمد عباس نیکنامToday with significant increase in production of polymeric products and advances in polymer science and technology, the importance of efficient management of polymeric waste has gain an even more significance. From efficient and practical solutions proposed in this fiel MoreToday with significant increase in production of polymeric products and advances in polymer science and technology, the importance of efficient management of polymeric waste has gain an even more significance. From efficient and practical solutions proposed in this field, recycling these wastes in order to produce gaseous and liquid fuels can be named as a valid and feasible solution. In addition to protecting the environment, this solution is a good replacement for natural fuels. Therefore, this research aims to increase the fuel efficiency and quality of plastic waste products via catalytic pyrolysis process. In this research, an expanded mathematical model is presented, and by using two methods of response surface and genetic algorithm, the proposed model and its parameters (reactor’s temperature and catalyst weight), for finding the optimal conditions shall be investigated. According to evaluation of base variance algorithm, the scale of deviation based on the expanded model, for liquid and gaseous fuel efficiencies is calculated to be 0.9641 and 0.9655 respectively. Manuscript profile -
Open Access Article
134 - Laminar flow modeling of different nano fluids around a flat plate fin for geometry optimization at the heat sink
seyyed mohammad javad taheri Ali HeydariThis paper presents a mathematical model for geometry optimization of a rectangular cross-section flat plate fin with application in calculating optimized width of a heat sink for different Nano fluids (Aluminum oxide, Silicon dioxide, Titanium dioxide, Copper oxide, Go MoreThis paper presents a mathematical model for geometry optimization of a rectangular cross-section flat plate fin with application in calculating optimized width of a heat sink for different Nano fluids (Aluminum oxide, Silicon dioxide, Titanium dioxide, Copper oxide, Gold, Copper, Diamond and Ferros oxide) with water as based fluid. Flow impinging on the fin is considered laminar. The effects of Reynolds number, volume fraction of nanoparticles, particle size, inlet velocity and different average temperature on the geometry optimization of the fin are investigated. A rectangular flat plate fin made from copper with higher thermal conductivity is used as the test case. Various Nano fluids with different volume fractions (0.005% to 0.1%) and different nanoparticle sizes (3×10-8 to 1×10-7 nanometer) are analyzed. In this analysis, as a basic assumption, the length of the fin is taken larger than the width and the fin volume is considered constant. Then, width of the fin will be optimized. The results indicated that the highest and the lowest optimized width is related to Gold and silicon dioxide nano fluids respectively. Increase in volume fraction, inlet velocity and temperature and decrease in nano particle size leads to optimized width enhancement. Manuscript profile -
Open Access Article
135 - Optimization of electromagnetic damper and suspension system of vehicle using bee’s algorithm
saeed yaghoubi علی رضا اطمینانی اصفهانی افشین قنبرزادهIn this study, electromagnetic damper using the model of one-fourth vehicle with two degrees of freedom, and the model of one-half with four degrees of freedom, and the effects of improving the function of suspension system have been investigated. Using the bee’s MoreIn this study, electromagnetic damper using the model of one-fourth vehicle with two degrees of freedom, and the model of one-half with four degrees of freedom, and the effects of improving the function of suspension system have been investigated. Using the bee’s optimization algorithm two phases, the simulated model, then, has been optimized. In the first phase, the constants of electro-magnetic damper have been optimized, and the parameters of suspension system have been assumed fixed. In the second phase, the parameters of suspension system have also been optimized beside the constants of electro-magnetic damper. In both phases, the size of optimized parameters using complex input including ten sine inputs with different amplitude and one step input have been earned, and eventually the size of Integral of Absolute Error according to different inputs has been calculated. In order to determine the final function in the optimization, IAE has been used, which has its aim in minimizing the space below the diagram (vehicle movement). The results indicate that the size of the final fuction is lower in comparison with the one-fourth model. The size of final function is lower in the second way of optimization; for instance, due to exetring sine input with the amplitude of 5, the size of this function for the one-fourth model and the one-half model was 0.293 and 0.283 for the first model; and 0.261 and 0.255 for the second one respectively. Manuscript profile -
Open Access Article
136 - Study on Young's Modulus, Fracture toughness & Energy of Composites Reinforced by ZnO Nanoparticles through Regression Tree, ANN & RSM
abdorreza alavi gharahbagh Ali dadrasi sasan folladpanjehA study on fracture toughness (KIC), fracture energy (GIC) and Young's modulus of styrene acrylonitrile composites by two volume content of 24% and 34% acrylonitrile has been conducted. ZnO nanoparticles were added to composites up to 1 vt%. Volume percent parameter has MoreA study on fracture toughness (KIC), fracture energy (GIC) and Young's modulus of styrene acrylonitrile composites by two volume content of 24% and 34% acrylonitrile has been conducted. ZnO nanoparticles were added to composites up to 1 vt%. Volume percent parameter has been described as a sensational parameter. The experimental results indicate that adding ZnO nanoparticles increase the mechanical properties and in some cases, it decreases them. Also the experimental results and the results of modeling show that the second order response surface method makes the best prediction. Additionally, the best value for Fracture toughness is 2.283 MPa.m1/2 when the volume percent of styrene acrylonitrile is 34% and volume percent of ZnO is 0.1%. Also, the best value for fracture energy is equal to 1101 J/m2, when the volume percent of styrene acrylonitrile is 34% and the volume percent of ZnO is 0.33%. And finally, this method shows that the best value for Young's modulus is 4.281 GPa when the volume percent of styrene acrylonitrile is 31% And volume percent of the particle is 0.5%. Manuscript profile -
Open Access Article
137 - Investigation and Optimization Of the Parameters Affecting the Strength Of Nd:YAG Pulsed Laser Spot Welding in Steel Sheet Using Design Of Expriment
Abbasali Habibollahi Nasrollah Bani mostafa Arab Ali Dehghani Amir AlinaghizadehWelding plays an important role in manufacturing and it is a reliable and efficient joining process in which the coalescence of metals is achieved by fusion. Nowdays welding is as the main and most common process for joint of metals. Among the welding methods, Laser Bea MoreWelding plays an important role in manufacturing and it is a reliable and efficient joining process in which the coalescence of metals is achieved by fusion. Nowdays welding is as the main and most common process for joint of metals. Among the welding methods, Laser Beam Welding) has the potential of welding very small and precise components. Localized heating with solidification of the melt, makes the connection between parts. In this thesis, laser spot welding process, which is one of the varieties of LBW process, is studied. In fact the laser spot welding is a simple type of laser welding that is widely used in various industries. The low strength of joints can damage structures. Therefore it is important that the strength of the joint be estimated and optimized. In this research, investigation and optimization of the laser spot welding process using design of experiments and response surface method is considered. Three parameters (peak power, pulse duration and thickness) of the process at three levels were the input factors. Material of sheets that was used in this research is AISI 304 stainless steel. The response or output factor was tensile - shear strength. Minitab16 software was used for design of experiments and analysis of the results. Finally, results showed that increase the peak power until 4250 watt and pulse duration until 3/5 millisecond provide the most tensile - shear strength (2200 Kg), and Square of thickness has the most negative effect on tensile shear strength of the joint. Manuscript profile -
Open Access Article
138 - Optimization of geometric parameters of brushless electric motor
Naser Nemati Abdollah Khalesi Doost Mohammad T.AskariIn this research, a new method is proposed to reduce the coincidence of the volume, losses and cost of making a DC motor without brushes using colonial competition optimization algorithms. In the first step, all electric motor relations are extracted and expressed based MoreIn this research, a new method is proposed to reduce the coincidence of the volume, losses and cost of making a DC motor without brushes using colonial competition optimization algorithms. In the first step, all electric motor relations are extracted and expressed based on its geometric parameters. In the second step, the function of competence, which is the same reduction in the volume, losses and cost of construction of a DC motor without brush, is defined on the basis of the relationships obtained in the previous stage. In the third step, the colonial competition algorithm is used to select the best values of the geometric parameters of the engine so that the objective function is minimized. The results of simulations show that the colonial competition algorithm has a good performance and can dramatically reduce the size, loss, and cost by appropriate selection of geometric parameters. Manuscript profile -
Open Access Article
139 - Robust-design-optimization of Flutter velocity of an aeroelastic high-aspect-ratio wing
meysam elyasi ALIREZA ROUDBARIIn this study, with the assumption of uncertainty in system design variables, a robust Optimization of the Flutter velocity aeroelastic wing with high-aspect-ratio under the bending-torsion effect is examined . Therefore, the aerospace wings are firstly modeled based on MoreIn this study, with the assumption of uncertainty in system design variables, a robust Optimization of the Flutter velocity aeroelastic wing with high-aspect-ratio under the bending-torsion effect is examined . Therefore, the aerospace wings are firstly modeled based on the Euler-Bernoulli cantilever beam model in quasi-steady aerodynamic conditions. After validating the results, in the simulation section, by using the Runge-Kutta numerical solution and the theory of Eigenvalues, the system response time and Flutter velocity are obtained. Therefore, by choosing parameters such as bending and torsional rigidity and mass per unit wing as optimization variables the effect of uncertainty on the design variables and optimized by genetic algorithm. In addition, the values of variables before and after optimization, as well as the rate of improvement of the Flutter velocity are presented in a robust and deterministic optimization. Finally, based on the optimization results, design variables for achieving an appropriate stability structure in terms of the phenomenon Flutter is confirmed. Manuscript profile -
Open Access Article
140 - Clearance Prediction of Rotary System with and without Mechanical Diagnosis by Using Artificial Neural Networks and Particle Swarm Optimization
Mojtaba Hasanluلقی تکیه گاه های موتور و یاتاقان ها سیستم را با کوپلینگ 4 نوع مختلف عیب ابتدا با استفاده از روش تبدیل سریع فوریه فرکانس ها و جابجایی های عمودی شفت در محل دو یاتاقان استخراج نموده و سپس اثر لقی تکیه گاه ها را در حالت حضور و عدم حضور عیوب دیگر مورد بررسی قرار میگیرد. حال Moreلقی تکیه گاه های موتور و یاتاقان ها سیستم را با کوپلینگ 4 نوع مختلف عیب ابتدا با استفاده از روش تبدیل سریع فوریه فرکانس ها و جابجایی های عمودی شفت در محل دو یاتاقان استخراج نموده و سپس اثر لقی تکیه گاه ها را در حالت حضور و عدم حضور عیوب دیگر مورد بررسی قرار میگیرد. حال برای دستیابی به یک مدل بهینه از شبکه عصبی بهمراه الگوریتم بهینه سازی ازدحام ذرات تک هدفه استفاده می کنیم بدین صورت که یکبار فرکانس های سیستم معیوب و بدون بعنوان ورودی شبکه عصبی معرفی میگردند و خروجی مطلوب آن فرکانس سیستم در حالتی که سیستم هیچ گونه عیبی ندارد مدلسازی می شود و سپس در مرحله بعد فرآیند قبل جهت مدل سازی بیهنه با شبکه عصبی را با استفاده از جابجایی های معیوب(وروی شبکه عصبی) و جابجایی سیستم (ورودی مطلوب) مورد ارزیابی قرار میگیرد. Manuscript profile -
Open Access Article
141 - Optimal placement of DG in an unbalanced network with two separate objectives using a new algorithm
mojtaba jamiatiIn this paper, distributed generation (DG) resources are localized in an unbalanced network with two different objective functions using a new algorithm. For this purpose, cost and parametric objective functions will be formulated for this problem. A new technique has b MoreIn this paper, distributed generation (DG) resources are localized in an unbalanced network with two different objective functions using a new algorithm. For this purpose, cost and parametric objective functions will be formulated for this problem. A new technique has been proposed to solve the problem of unbalanced load distribution. Group Search Engine Optimization (GSO) algorithm is one of the new particle intelligence techniques that in this paper, this algorithm has been improved and the results have been analyzed. The simulations will be performed on two real sample networks in northwestern Iran and the IEEE standard. Each target function will be tested on one of the networks. For each network, two placement scenarios are proposed: DG resource counting and determination of the number of DG units. In the case study process, the results of the proposed improved GSO algorithm are compared with the results of simple GSO algorithms and particle swarm optimization (PSO). Manuscript profile -
Open Access Article
142 - A review of energy efficiency in buildings by phase change materials and intelligent management system
mehdi abdoos Abdollah Khalesi Doost Hadi Kargar SharifabadOne of the most important issues in the world today is energy saving, which in the construction industry, proper thermal insulation is one of the solutions to prevent energy loss. Also, the use of new and suitable insulation materials helps us to achieve this. Energy cr MoreOne of the most important issues in the world today is energy saving, which in the construction industry, proper thermal insulation is one of the solutions to prevent energy loss. Also, the use of new and suitable insulation materials helps us to achieve this. Energy crisis, global warming and other environmental issues have always been the main motivation for researchers and engineers to look for new ways to reduce building energy consumption. Recently, the use of phase change materials to increase the thermal mass of the building has received much attention. Phase changers are organic or inorganic compounds that have the ability to absorb and store large amounts of heat energy within themselves. Due to this unique feature, using these materials can naturally delay the transfer of heat to the building for several hours during peak hours of energy consumption and therefore closer to the goal of optimizing energy consumption in the building. The use of phase change materials in the construction industry along with the proper use of the capabilities and physical properties of materials, was introduced in the world several decades ago and is now known in developed countries, while in our country the research and application of these materials in the construction industry remains almost unknown. The purpose of this article is to introduce and provide suggestions for using phase change materials to store and reduce energy consumption in the building. Manuscript profile -
Open Access Article
143 - Optimization of two dimensional structures, using minimum growth ground method with floating nodes
Ali Ghoddosian Saber Meskar Jahan abadOptimization techniques based on basic structure and the minimum growth ground method and stationary nodes, are among useful and effective methods in finding optimal discrete structures. But the slow optimization process of the base structure method for two-dimensional MoreOptimization techniques based on basic structure and the minimum growth ground method and stationary nodes, are among useful and effective methods in finding optimal discrete structures. But the slow optimization process of the base structure method for two-dimensional Large-scale structures and the large number of basic structural elements, waste a lot of time to solve problems. The fixed nodes of the truss in minimum growth ground method with fixed nodes, which in some cases makes structures to find a local optimum. In this article we have tried to provide a new method, optimization of cross section and truss topology are in a way that the aforementioned problems are solved as far as possible and for this purpose the algorithm of growth ground method with floating nodes are suggested. In this method, instead of starting with the base structure with the most possible members of the structure, we start with a structure with minimum members and the basic structure grows until it satisfies the conditions and all nodes are added to the structure in a floating mode. Then, in this paper several standard example are used which are coded using MATLAB software and the obtained results in the form of growth ground method with floating nodes using optimization algorithm of particle swarm is compared to other methods. The results show that growth ground method with floating nodes has a very high Convergence rate compared to growth ground method and more Absolute optimization compared to the minimum growth ground method with fixed nodes. Manuscript profile -
Open Access Article
144 - تحلیل و بهینه سازی چند هدفه سازه های گسسته با استفاده از روش سیستم ایمنی مصنوعی اصلاح شده
علی قدوسیان محمدعلی حامدی -
Open Access Article
145 - Application of ant colony optimization method in GIS
Mohsen Ghods Hossein Aghamohammadi Alireza Vafaei Nejad Alireza Gharagozlu Saeed BehzadiSwarm intelligence is one of the new growing methods that is considered in artificial intelligence as a function of the social interaction of components. The Basics of swarm intelligence are based on the study of the behavior of social organisms such as some insects (be MoreSwarm intelligence is one of the new growing methods that is considered in artificial intelligence as a function of the social interaction of components. The Basics of swarm intelligence are based on the study of the behavior of social organisms such as some insects (bees, ants, termites) or even humans. The issue of using meta-heuristic methods for application in hybrid optimization problems is a rapidly growing field of research. This is due to the importance of hybrid optimization issues in the world of industry and science. In recent years, one of the most important and promising researches has been "supra-innovative methods derived from nature", which has had very good results in solving problems of combined problems. Meta-heuristic algorithms are used to solve a problem when, as the size of the problem increases dramatically, so-called NP-hard problems. One of the most widely used meta-innovative methods in this field is the ant colony optimization algorithm, which is used today in solving the problems of spatial resource allocation, routing, and location in GIS environments. In this research, while examining the ant colony algorithm, its expression and parameters required for use in the GIS environment are discussed. The ability of algorithms based on food search in the ant colony algorithm is significantly dependent on the optimal determination of the parameters in these algorithms. Manuscript profile -
Open Access Article
146 - Providing a suitable model of energy management with multi-response optimization method and transient simulation in combined energy production cycles
Abbas Motallebi Ahmad Shayannia mahdi amirmiandaragh ebrahim niknaghshAccording to Article 16 of the Knowledge-Based Production Leap Law, all industries that consume more than 2 megawatts of electricity must use 5% of their electricity consumption from renewable energy within 5 years. The model is optimized from the transient simulation m MoreAccording to Article 16 of the Knowledge-Based Production Leap Law, all industries that consume more than 2 megawatts of electricity must use 5% of their electricity consumption from renewable energy within 5 years. The model is optimized from the transient simulation method using Transis software, using the test design method, with the help of the response surface method. Two independent factors, the area of the solar panels and the power of the diesel generator have been selected as the main variables, and then the total electricity consumption, the total gas consumption, the total diesel fuel consumption, as well as the return on investment have been selected as the economic answer for optimization. It shows that increasing the area of solar panels with a low slope increases the investment return period. On the other hand, increasing the power of the diesel generator to about 2000 kilowatts helps to reduce the investment return period. But increasing the power of the diesel generator from 2000 to 3000 kilowatts increases the period of return on investment. Optimization using the response surface method showed that the optimal point occurs in the panel area of 11716.89 square meters and in the diesel generator power of 1986.69 kilowatts, the return on investment is 1.612 years, the results showed that the maximum value of the utility function is 0.725. which is a number very close to the maximum possible value (that is, the ideal state whose utility function is equal to 1 Manuscript profile -
Open Access Article
147 - ارائه یک مدل چند هدفه فازی برای بهینه سازی سبد سهامداران با استفاده از الگوریتم ژنتیک
رضا احتشام راثی الهام با حقیقت -
Open Access Article
148 - Optimizing the Firms Performance through Corporate Governance Mechanism by Super Creative Algorithm
Farzin Rezaei Mojtaba SobhaniA good corporate governance system is a key element in optimizing business unit performance and the profitability condition for shareholders, limiting agency costs and supporting the company's survival. This study aimed to express the difference between the values of th MoreA good corporate governance system is a key element in optimizing business unit performance and the profitability condition for shareholders, limiting agency costs and supporting the company's survival. This study aimed to express the difference between the values of the optimal performance of companies operating in various industries in Tehran Stock Exchange through governance mechanisms. In this regard, the performances of 130 companies in Tehran Stock Exchange were optimized, categorized by 10 industries during years of 1380 through 1390 (2001 through 2011), using meta-heuristic algorithm based on the following criteria: Return on Assets, Return on Equity, Real Stock Returns, Tobin’s Q Ratio, Market Value of Equity, Economic Value Added, and Cost of Common Stock; And We compared optimal performance of companies with each other and also compared corporate governance mechanism of them together and finally we compared both of them (optimal performance and corporate governance mechanism) together by Kruskal-Wallis test. Consequently, using good corporate governance lead to optimal performance of the companies. So we propose this result to investors and active companies of stock exchange. Manuscript profile -
Open Access Article
149 - Optimization the layout of filling station by simulation in queue theory
Sadegh Abedi Reza Radfar Naser HamidiEnergy and fuel crisis and magnified demands for fuel consumption caused varies challenges in the word. With19889 million liter annual consumption of gasoline, according to international reports, Iran is the tenth country in the word. In recent years, tremendous increas MoreEnergy and fuel crisis and magnified demands for fuel consumption caused varies challenges in the word. With19889 million liter annual consumption of gasoline, according to international reports, Iran is the tenth country in the word. In recent years, tremendous increases in fuel prices brought optimization and management of fuel consumption into the limelight. In this paper we are trying to maximize the capacity of filling stations and to elevate customer’s satisfaction through modeling these stations. Queue theory and simulation are instruments that we used in this research. Manuscript profile -
Open Access Article
150 - A Model to Integrated Production-Distribution Planning in a Supply Chain
Abolfazl Kazemi Keyvan Sarrafha Alireza AlinezhadSupply chain management (SCM) is a subject that has found so much attention among different commercial and industrial organizations due to competing environment of products. Therefore, integration of constituent element of this chain is a great deal. One of the importan MoreSupply chain management (SCM) is a subject that has found so much attention among different commercial and industrial organizations due to competing environment of products. Therefore, integration of constituent element of this chain is a great deal. One of the important subjects of supply chain is production-distribution planning. Integrated production and distribution of products has key role to increase of the costs in supply chain. In this paper, a bi-objective integrated production-distribution problem in a three echelon supply chain includes factories, distribution centers and final costumers for multi-products at multi-time period are presented. Two conflicting objectives by minimizing total costs of chain and costs of the distribution warehouses are considered. The Lp-metric method with P=1 and P=∞ is used to solve the model. Finally by considering two metrics of solution quality as integrated objective functions, and CPU, time method have been implemented on several problems and the performance of proposed methodologies is analyzed as statistic. Manuscript profile -
Open Access Article
151 - The Impact of Employability on Career Success of Employees at Qazvin Product Distribution Company
Seyyed Mohammad Zahedi Soheila ZakizadehPresent research addresses the impact of employability on career success of employees of Qazvin Province National Oil Product Distribution Company. Statistical population of present research consisted of 203 employees of Qazvin Province National Oil Product Distribution MorePresent research addresses the impact of employability on career success of employees of Qazvin Province National Oil Product Distribution Company. Statistical population of present research consisted of 203 employees of Qazvin Province National Oil Product Distribution Company. 190 subjects were selected, using simple random sampling. The first research instrument was van der Heijden and van der Heijden’s Employability scale with five dimensions of occupational expertise, anticipation and optimization, personal flexibility, corporate sense and balance. The second instrument utilized in this study was Gautier and Linwood's Career Success Scale with five dimensions of job success, interpersonal success, financial success, hierarchical success and life satisfaction. Reliability of instruments was verified using Cranach Alpha which were 0.925 and 0.903 respectively for first and second one. Data analysis was performed using simple linear regression. Results showed that employability dimensions had significant effect on career success. Manuscript profile -
Open Access Article
152 - Presenting a Bi-objective Method in Location-allocation Problems Using Combinational Interval Full-ranking and Set Covering with Backup Model
Majede Kordjazi Abolfazl KazemiCovering models have found many applications in a wide variety of real world problems, nevertheless some assumptions of covering models are not realistic enough, that’s why a general approach wouldn’t be able to answer needs of encountering varied aspects of MoreCovering models have found many applications in a wide variety of real world problems, nevertheless some assumptions of covering models are not realistic enough, that’s why a general approach wouldn’t be able to answer needs of encountering varied aspects of real world considerations. Assumptions like unavailability of servers in emergency circumstances, postponing the process of serving customers, inevitable uncertainty in real world and evaluating more factors at the same time, are a sort of assumptions which covering models always face them but they are not able to find any answer to them. Therefore, how to deal with these sorts of assumptions has been reminded a big question. In this research, for facing unavailability, we address Backup covering and for facing uncertainty in input data, we propose Interval Full-ranking model. Furthermore, by combining backup covering and interval full-ranking models (also conceptions), not only we can save time and evaluate more factors like efficiency and cost simultaneously, but also covering considerations in real aspects are reachable. In final, we have solved the proposed model by using precise methods and Genetic revolutionary algorithm in small and large scales, respectively in order to analyze evaluate and compare the results. Results demonstrate appropriate performance of the proposed model despite simultaneous consideration of the mentioned assumptions and none of the assumptions are mutually exclusive. Manuscript profile -
Open Access Article
153 - Developing and Solving two Level Lot Sizing Problem with Multi Production Methods using Vibration Damping Optimization Algorithm
Mohammad Ebrahimi Maghsod AmiriThe Capacitated Lot Sizing Problem (CLSP) consists of determining the production quantity and timing for several items on a single facility over a finite number of periods so that the demand and capacity constraints can be satisfied at a minimum cost. In this Article, d MoreThe Capacitated Lot Sizing Problem (CLSP) consists of determining the production quantity and timing for several items on a single facility over a finite number of periods so that the demand and capacity constraints can be satisfied at a minimum cost. In this Article, developing two level lot sizing problem with multi production methods is provided. The objective of the proposed model is to minimize costs. Vibration Damping Optimization (VDO) is used to solve a model. Taguchi method has been utilized to calibrate the parameters of algorithms Since the quality of solving all of the meta-innovative algorithms depends on their parameters.Then, to demonstrate the proper function of the solution method is provided, at first, experimental issues with different dimensions were generated, then it was solved by Lingo software and Vibration Damping Optimization. Finally, we compare the Lingo response and the optimization algorithm to reduce the vibration damping Optimization algorithm together in terms of the solution time. The results show that the answer to the vibration damping Optimization algorithm has a better quality than Lingo in issues of large size. Manuscript profile -
Open Access Article
154 - Isolation of Indigenous Azotobacter from the Soil of Different Regions of Tehran and Investigating the Effect of Their Inoculation on Tomato (Solanum lycopersicum L.) Plant Growth
Shaghayegh Golchin Irani Gholamreza Taheri Sangsari Akram Sadat Tabatabaee Bafroee Mohammad Javad AvestaAzotobacter is an aerobic, gram negative and chemoorganotrophic bacterium, that is able to stabilize molecular nitrogen nonsymbiotically. The role of Azotobacter in plant growth is due to the production of growth-promoting hormones, the ability to dissolve insoluble pho MoreAzotobacter is an aerobic, gram negative and chemoorganotrophic bacterium, that is able to stabilize molecular nitrogen nonsymbiotically. The role of Azotobacter in plant growth is due to the production of growth-promoting hormones, the ability to dissolve insoluble phosphates, nitrogen fixation, increase stress resistance and biocontrol of plant pathogens. The aim of this study was to isolate and identify the indigenous Azotobacter from the soil of different areas of Tehran. The effect of tomato plant inoculation with isolates on growth promoting was also investigated. Finally, the growth conditions of the superior isolate were optimized. Azotobacter isolates were obtained from soil samples using serial dilution method and identified by conventional biochemical tests. The nif H gene, encoding nitrogenase enzyme, was identified in isolates using real-time PCR technique. Then the tomato seeds were inoculated with isolates and seedling growth rate including stem and root length were measured during 34 days. The parameters of temperature, pH, aeration rate, and carbon and nitrogen sources were optimized for superior isolate. In this study, 27 isolates were identified as nitrogen fixing Azotobacter. Considering the results, all isolates showed a significant increase (p <0.05) in stem and root length of tomato plants compared to standard strain and negative control. Among them, isolate No. 21 had the greatest effect during 34 days of study and its best growth conditions in the presence of mannitol carbon source, peptone nitrogen source, 200 rpm rotation, 30°C and pH 7were acquired. According to the results of this study, the obtained indigenous isolates particularly isolate No.21 have the potential to be used as biological fertilizer after further investigations. Manuscript profile -
Open Access Article
155 - Optimization of mixotrophic culture medium for maximum production of extracellular polysaccharides and bioactive compounds Aliinostoc oryzae cyanobacteria isolated from saline water of Golestan province
بهاره NowruziAbstractThe synthesis of extracellular polysaccharides in microorganisms, especially cyanobacteria, plays a major role in protecting the cell against many stresses in different habitats. In recent years, cyanobacterial strains belonging to the Nostocaceae family are of MoreAbstractThe synthesis of extracellular polysaccharides in microorganisms, especially cyanobacteria, plays a major role in protecting the cell against many stresses in different habitats. In recent years, cyanobacterial strains belonging to the Nostocaceae family are of interest as acceptable sources for polysaccharide production in liquid and solid suspension cultures. Therefore, in this research, the optimization of culture conditions for maximum production of extracellular polysaccharides and bioactive compounds under the influence of mixotrophic environment by filamentous cyanobacteria isolated from salt water has been studied. In the upcoming study, with the aim of investigating the effective factors in optimizing the production of exopolysaccharides and the effect of the mixotrophic environment, the cyanobacterium Aliinostoc oryzae strain was isolated from the salty waters of Golestan province, and after morphological and molecular identification, the amount of polysaccharide produced and its antimicrobial activity was investigated. The findings indicate that the amount of polysaccharide production from cyanobacteria depends on the conditions of the culture environment. The amount of polysaccharide production of cultures grown in nitrate concentration with concentrations of 0.04 and 0.06 g/ml and in light of 150 microns per square meter per second was significantly higher than the control. Antibiogram tests also showed that there was a significant difference in polysaccharide production in the presence of Staphylococcus aureus in nitrate culture. Investigations of the average production of extracellular polysaccharide extraction also showed a significant difference in different culture environments. Extracellular polysaccharide extracted from cyanobacteria has countless uses in the industry, including the pharmaceutical industry, food industry, and agriculture. Therefore, the optimization of the cyanobacterium culture conditions for the maximum production of polysaccharides appears. Since cyanobacterial exopolysaccharides are important from the point of view of biotechnology, it is important to pay attention to many other factors for maximum exopolysaccharide production in this genus of cyanobacteria. Manuscript profile -
Open Access Article
156 - Investigation of the amount of bisphenol A in commercial bottled water (offered in Ardabil market) and optimization of ozonation to reduce it
M.A. Rahimizad Toulon H. Mirzaei A.A. Matin A. Javadi A. Amani Ghadim< p >Bisphenol A is a chemical substance that impairs estrogenic endocrine and the presence of BPA in water causes various problems for human health. The present study aims to evaluate the amount of BPA in bottled waters in Ardabil and to optimize the ozone condit More< p >Bisphenol A is a chemical substance that impairs estrogenic endocrine and the presence of BPA in water causes various problems for human health. The present study aims to evaluate the amount of BPA in bottled waters in Ardabil and to optimize the ozone condition for reducing it in water. For this purpose, 5 samples were selected out of 13 brands of bottled water. One sample of each brand was tested on the first day and 4 other samples were tested after 30 days of storage at temperatures of 5, 15, 25, and 40 °C using a high-performance liquid chromatography device. To determine the ozonation efficiency, at first, the concentration of consuming ozone, pH of the environment, duration of ozonation, and initial concentration of BPA were optimized and then tested under optimal conditions. On the first day, the amount of BPA in all brands was within the limits allowed by the Department of Health of America (20 µg/L). By increasing the temperature of storage, the amount of BPA increased in all samples and at 40 °C, its amount exceeded the allowable limit in 3 brands. Optimal conditions are achieved at an ozone concentration of 6 mg/l, pH equal to 7, concentration of dissolved BPA equal to 10 mg/l, and ozonation time in 10 minutes. Furthermore, ozonation in these conditions removed 90% of BPA in water. In general, it can be declared that the contamination of BPA in bottled waters increases during preservation, and especially at temperatures higher than a refrigerator (out of the refrigerator), and ozonation under optimized condition is an effective method to reduce it. < p > TRANSLATE with x English Arabic Hebrew Polish Bulgarian Hindi Portuguese Catalan Hmong Daw Romanian Chinese Simplified Hungarian Russian Chinese Traditional Indonesian Slovak Czech Italian Slovenian Danish Japanese Spanish Dutch Klingon Swedish English Korean Thai Estonian Latvian Turkish Finnish Lithuanian Ukrainian French Malay Urdu German Maltese Vietnamese Greek Norwegian Welsh Haitian Creole Persian // TRANSLATE with COPY THE URL BELOW Back EMBED THE SNIPPET BELOW IN YOUR SITE Enable collaborative features and customize widget: Bing Webmaster Portal Back //TRANSLATE with xEnglishArabicHebrewPolishBulgarianHindiPortugueseCatalanHmong DawRomanianChinese SimplifiedHungarianRussianChinese TraditionalIndonesianSlovakCzechItalianSlovenianDanishJapaneseSpanishDutchKlingonSwedishEnglishKoreanThaiEstonianLatvianTurkishFinnishLithuanianUkrainianFrenchMalayUrduGermanMalteseVietnameseGreekNorwegianWelshHaitian CreolePersian // TRANSLATE with COPY THE URL BELOW BackEMBED THE SNIPPET BELOW IN YOUR SITE Enable collaborative features and customize widget: Bing Webmaster PortalBack// Manuscript profile -
Open Access Article
157 - کاربرد الگوریتم ژنتیک چندهدفه (NSGA II)در انتخاب پرتفوی بهینه در بورس اوراق بهادار
سید احمد شیبت الحمدی محمد همتی مهدی اسفندیاردر موضوعات مالی سبد سهام را میتوان به معنی یک ترکیب و یا مجموعهای از سرمایه گذاریها دانست که بوسیله یک موسسه و یا یک فرد نگهداری میشود. بهینه سازی سبد سهام به منظور حداکثر سازی سود یکی از اصلی ترین دغدغههای سرمایه گذاران در بازارهای مالی است. تشکیل سبد سهام به عنوا Moreدر موضوعات مالی سبد سهام را میتوان به معنی یک ترکیب و یا مجموعهای از سرمایه گذاریها دانست که بوسیله یک موسسه و یا یک فرد نگهداری میشود. بهینه سازی سبد سهام به منظور حداکثر سازی سود یکی از اصلی ترین دغدغههای سرمایه گذاران در بازارهای مالی است. تشکیل سبد سهام به عنوان یک تصمیم گیری حساس و حیاتی برای شرکتها شناخته شده است. در واقع مسأله انتخاب سبد سهام مسأله تخصیص سرمایه بین گزینههای مختلف سهام می باشد. به همین دلیل انتخاب یک سبد سهام با نرخ بازدهی بالا و ریسک کنترل شده یکی از موضوعاتی است که مورد توجه بسیاری از محققان قرار گرفته است. روشهای فعلی در بهینه سازی سبد سهام از کارائی لازم برخوردار نبوده و لذا برای حل این مشکل الگوریتمهای ابتکاری مورد توجه قرار گرفته اند. الگوریتم ژنتیک یکی از الگوریتمهای ابتکاری است که میتواند مسائل بهینه سازی سبد سهام را با کارائی بالا انجام دهد. هدف تحقیق حاضر توضیح کامل الگوریتم ژنتیک و استفاده از این الگوریتم در مسائل بهینهسازی سبد سهام میباشد. مسأله انتخاب سبدهای سهام آن قدر پیچیده هستند که روشهای حل فعلی در برابر آن ناتوان بوده، از این رو استفاده از الگوریتمهای ابتکاری برای حل آنها مورد توجه قرار گرفته و توسعه یافته است. در این پژوهش روشی بر مبنای الگوریتم ژنتیک چند هدفه NSGA-II برای تشکیل سبد سهام ارائه می شود. همچنین ما دادههای 30 شرکت برتر را از شرکتهای بورس اوراق بهادار تهران به عنوان نمونه آماری انتخاب نموده و اطلاعات سهام آنها را از ابتدای سال 1386 تا پایان سال 1390 مورد استفاده قرار داده ایم. نتایج نشان می دهد که الگوریتم ژنتیک چند هدفه NSAG-II طراحی شده برای انتخاب سبد سهام ابزاری مناسب و کارا برای کمک به سرمایه گذاران در انتخاب سبد سهام میباشد. Manuscript profile -
Open Access Article
158 - بررسی اثر پارامترهای فرایند قالبگیری تزریقی ABS و PP به کمک آب با استفاده از روش بهینه سازی تابع هدف با معیارهای چندگانه (OEC)
طاهر ازدست زهرا محمدیان امیر حسین بهروش احمدضیاء احمدزی -
Open Access Article
159 - Developing an Optimized Portfolio Model using Modified Risk Aversion Coefficient
Roohollah Mehralizadeh shiadehi hosein didehkhani Ali Khozain arash naderianIn this paper, we propose a modification to the use of the risk aversion coefficient in optimization models, based on research literature and mathematical methods. The modified risk aversion coefficient introduced in this paper can be applied in the maximization part of MoreIn this paper, we propose a modification to the use of the risk aversion coefficient in optimization models, based on research literature and mathematical methods. The modified risk aversion coefficient introduced in this paper can be applied in the maximization part of the model without any adverse effects. By doing so, it can improve the accuracy of meta-heuristic algorithms in finding optimal solutions. To test the efficacy of our proposed model, we applied it to 30 shares of the Tehran Stock Exchange, along with a zero-risk asset, taking into account some limitations in the market. We used a genetic meta-heuristic optimization method to solve the model, and to measure its efficiency, we compared the results of the optimization process with 2500 randomly generated portfolios that were within the problem's constraints. Our results show that our model outperforms the random portfolios in terms of both risk factors and return. In conclusion, our proposed modification to the risk aversion coefficient can improve the accuracy of optimization models, and our results demonstrate its effectiveness in generating optimal portfolios in the market. Manuscript profile -
Open Access Article
160 - Stock portfolio optimization using prohibited search algorithms and itinerant trader
fatemeh samadi fatemeh khosravi Hossein Eslami Mofid AbadiIn this thesis, modeling and forecasting of stock market fluctuations using the combination of neural network and conditional variance patterns (case, Tehran Stock Exchange) have been used from April 2008 to April 2012. According to the predicted results, this hypothesi MoreIn this thesis, modeling and forecasting of stock market fluctuations using the combination of neural network and conditional variance patterns (case, Tehran Stock Exchange) have been used from April 2008 to April 2012. According to the predicted results, this hypothesis is confirmed, but its accuracy is not as large as the composition of the neural network and the conditional variance pattern. In the return time series, both GRACH and ARCH conditional variances are rejected, but in the GRACH time series, ARCH is rejected. Given the artificial neural network simulation and conditional variance, the error value of the least squares is the return value of 18, that is, an error is required to estimate future returns. An important parameter of the opacifying factor is the dependence of our input and output at each stage, which indicates a number close to 1 and shows a complete dependence. According to the artificial neural network simulation and conditional variance, the least squares risk error value is 0.001, that is, to estimate the returns for the future, this error is error. Another important parameter of this regression table is R, which shows the dependence of our input and output in each stage, where 0 means a random relationship and 1 means dependence. Manuscript profile -
Open Access Article
161 - Optimal Design, Modeling, and Evaluation of Single-Phase Axial Flux Induction Motor with a Permanent Capacitor Using Improved Particle Swarm Optimization Algorithm (IPSO)
Amin Aboutalebi NajafabadiThe increasing application of single-phase axial flux induction motors with a permanent capacitor and their low efficiency has led to the importance of optimization of this type of motors. In this paper, by introducing the classical algorithms of design of this type of MoreThe increasing application of single-phase axial flux induction motors with a permanent capacitor and their low efficiency has led to the importance of optimization of this type of motors. In this paper, by introducing the classical algorithms of design of this type of motors, which consists of finding the dimensions of different parts of the motor and calculation of electrical parameters such as resistance and reactance, and capacitor, by introducing the proposed equivalent circuit in the permanent state to reduce the air gap of the motor, introduces the structure of optimization algorithms and then uses a genetic algorithm and improved particle swarm algorithm to optimize the design of the axial flux motor to increase efficiency, increase power factor and reduce core volume. For this purpose, a single-phase axial flux induction motor with a permanent capacitor that has considerable application in ventilation systems is investigated, and using design formulas and with the help of a circuit equivalent to the proposed permanent state, as well as using Intelligent methods such as genetic algorithm and improved particle swarm algorithm, engine optimization to increase maximum efficiency and the results are drawn in the form of torque-speed and efficiency-speed diagrams and compared with each other. Finally, the designed motor is simulated by the finite element method to verify the design algorithm, the steady-state model, the proposed optimization algorithm, and the test results. Manuscript profile -
Open Access Article
162 - Improving the Efficiency of Actual Distribution System by Allocating Multi-DG and DSTATCOM
Masoud Alilou Sajad Sadi Saeed Zamanian Javad Gholami Shahab MoshariOptimal allocation of distributed generation units and DFACTS affects the efficiency of these devices; for this reason, in this article, the simultaneous placement of distributed generation and Distributed-STATic-COMpensator (DSTATCOM) are done in the distribution syste MoreOptimal allocation of distributed generation units and DFACTS affects the efficiency of these devices; for this reason, in this article, the simultaneous placement of distributed generation and Distributed-STATic-COMpensator (DSTATCOM) are done in the distribution system. The load model is considered as a combination of various customers’ daily load patterns and sensitive to voltage-frequency. The micro turbine, wind turbine, photovoltaic and fuel cell are considered as DG units. The objective functions of the problem consist of the technical index (the voltage stability and the active and reactive power loss) and environmental index (the amount of pollutant DG unit’s gas emissions). The whale optimisation algorithm (WOA) is used to multi-objective optimize the location and capacity of devices. After applying the multi-objective WOA, the analytical hierarchy process is utilized to select one of the Pareto optimal solutions as the best location and size of devices. The proposed algorithm is implemented on the 69-bus distribution system and actual 101-bus distribution system in Khoy–Iran. The results indicate the significant effect of load models and various DG units on the efficiency of the distribution system in the presence of DSTATCOM. Moreover, the indices of the distribution system are improved considerably after applying the proposed method. Manuscript profile -
Open Access Article
163 - Reactive power compensation and reducing network transmission losses by optimal placement of parallel and series FACTS devices with fuzzy-evolutionary method.
Ali Motaghi Mohsen Alizadeh Mohammad Ali AbbasianThe growing use of energy in the world necessitates the development of power networks. However, developing new transmission lines requires a great deal of time and cost, so it will be very cost-effective to use the same lines with higher transmission capacities, if poss MoreThe growing use of energy in the world necessitates the development of power networks. However, developing new transmission lines requires a great deal of time and cost, so it will be very cost-effective to use the same lines with higher transmission capacities, if possible. In this regard, in recent years, by introducing of FACTS to power networks, their use in industrialized countries has become commonplace to increase the capacity of transmission lines. In this paper, the optimal adjustment of reactive power sources in the power network with FACTS series and parallel devices (TCSC, SVC) in order to coordinate them with each other and using fuzzy logic based on evolutionary algorithms such as particle swarm to reduce power losses Active, operating system costs including the cost of FACTS devices and congestion in transmission networks. Finally, this will be proven by simulating the IEEE 30-Bus test network and placing FACTS devices on it. Manuscript profile -
Open Access Article
164 - Structure Optimization of Locally Linear Model Tree Using Extermal Optimization
Khalil Sharifi Mohammad Reza AhmadzadehLocally Linear Model Tree (LOLIMOT) algorithm proposed by Nelles deals with local linear nearo-fuzzy models that is based on divides-and-conquer strategy that a complex modeling problem is divided to a number of smaller and thus simpler sub problems. So the characterist MoreLocally Linear Model Tree (LOLIMOT) algorithm proposed by Nelles deals with local linear nearo-fuzzy models that is based on divides-and-conquer strategy that a complex modeling problem is divided to a number of smaller and thus simpler sub problems. So the characteristic of such a neuro-fuzzy model depends on division strategy for the original complex problem. For finding the best output the algorithm divides the problem to a number of local linear models (LLMs) , then continues with finding the worst LLM and dividing it. LOLIMOT splits the local linear models into two equal halves with an axis-orthogonal decomposition strategy. In this paper a new approach based on extremeal optimization (EO) is used to optimize the structure of LOLIMOT. Simulation results show the effectiveness of the enhanced LOLIMOT to have a higher precision with optimal number of neurons. Manuscript profile -
Open Access Article
165 - Multi-Objective Optimization of Pulsed Power Supply for a Railgun
Mehrdad Jafarboland Mehdi PeyvandiA novel two-objective optimization design model for pulsed power supply (PPS) is proposed in this paper. The objectives are the muzzle velocity and the stored-to-kinetic energy efficiency. The design variables include the operating voltage and the trigger delay times be MoreA novel two-objective optimization design model for pulsed power supply (PPS) is proposed in this paper. The objectives are the muzzle velocity and the stored-to-kinetic energy efficiency. The design variables include the operating voltage and the trigger delay times between segments. The acceleration of the armature is constrained to lower than 106 m/s2. The optimization results for nuzzle velocity and the efficiency separately show the following: 1) The acceleration constraint has great influence on the performance; 2) wide current pulse yields high velocity but low efficiency; and 3) The operating voltage has to be increased to accelerate a heavier projectile to a certain velocity or at a certain efficiency. Pareto solution fronts for various projectile masses are found using the nondominated sorting genetic algorithm (NSGA-II) under the integration environment of MATLAB software. Manuscript profile -
Open Access Article
166 - Optimal PID Controller Tuning for Multivariable Aircraft Longitudinal Autopilot Based on Particle Swarm Optimization Algorithm
Mostafa Lotfi Forushani Bahram Karimi Ghazanfar ShahgholianThis paper presents an optimized controller around the longitudinal axis of multivariable system in one of the aircraft flight conditions. The controller is introduced in order to control the angle of attack from the pitch attitude angle independently (that is required MoreThis paper presents an optimized controller around the longitudinal axis of multivariable system in one of the aircraft flight conditions. The controller is introduced in order to control the angle of attack from the pitch attitude angle independently (that is required for designing a set of direct force-modes for the longitudinal axis) based on particle swarm optimization (PSO) algorithm. The autopilot system for military or civil aircraft is an essential component and in this paper, the autopilot system via 6 degree of freedom model for the control and guidance of aircraft in which the autopilot design will perform based on defining the longitudinal and the lateral-directional axes are supposed. The effectiveness of the proposed controller is illustrated by considering HIMAT aircraft. The simulation results verify merits of the proposed controller. Manuscript profile -
Open Access Article
167 - Optimization of Polyphenol Oxidase and Peroxidase Production Using Native Bacillus spp. Isolated from Fully Fermented Tea
Moahmmad Faezi GhasemiTea (Camellia sinensis) is a species of evergreen shrub or small tree in the flowering plant family of Thecae. One of the major steps in black tea manufacturing is the fermentation process, which bacteria may incorporate. This study aimed at using the one-factor-at-a-ti MoreTea (Camellia sinensis) is a species of evergreen shrub or small tree in the flowering plant family of Thecae. One of the major steps in black tea manufacturing is the fermentation process, which bacteria may incorporate. This study aimed at using the one-factor-at-a-time (OFAT) and Taguchi methods to optimize the production of polyphenol oxidase (PPO) and peroxidase (POD) by Bacillus spp. isolated from fully fermented tea. The results showed that sucrose and glucose exhibited the greatest effects on the production of polyphenol oxidase and peroxidase by the strains Bacillus sp. (TB3) and B. licheniformis (TB14), respectively. In addition, the results indicated that the best nitrogen sources for the production of PPO by Bacillus sp. (TB3) and POD by B. licheniformis (TB14) were sodium nitrate and ammonium carbonate, respectively. Based on the obtained results, the medium components for the production of PPO by Bacillus sp. (TB3) at a pH of 7 were as follows: 0.5% sucrose, 1.0% of peptone, 0.8% of yeast extract, 0.2% of hydrolyzed casein, 0.02% of potassium dihydrogen phosphate, 0.005% of magnesium sulfate heptahydrate, and 0.1% sodium nitrate. Moreover, the optimal culture medium for the production of POD by B. licheniformis (TB14) at a pH of 7 was as follows: 0.3% of glucose, 1.0% of peptone, 0.8% of yeast extract, 0.2% of hydrolyzed casein, 0.02% of potassium dihydrogen phosphate, and 0.005% of magnesium sulfate heptahydrate. Increased production of PPO and POD enzymes were obtained about 8 and 6 fold more than the basal culture media, respectively. Manuscript profile -
Open Access Article
168 - Optimized Designing of the Diametric Network of one or two-layer Diagrid Structure in Dignified Buildings under the Gravity and Lateral Loads
ashkan khodabandelou reza aghajani Diagrid structures as the structural system in dignified buildings, from the applicational point of view, are framed and piped developed structures which decrease the weight of the structure by reducing the cutting limp. The goal of the pr More Diagrid structures as the structural system in dignified buildings, from the applicational point of view, are framed and piped developed structures which decrease the weight of the structure by reducing the cutting limp. The goal of the present article is to optimize the diagrid structures for reducing the weight of structure, determining the number of classifications and the optimize angle and finally comparing the mono and two-layer diagrid structure for selecting the economic option. Through the present research, doing the optimizing diagrid structure by using the extra-creating algorithms, which made the integrated drive electronic necessary, was considered. The Grasshopper graphical programming extension on the Rhino geometric modelling software supplied the algorithmic optimization by making the written program parametric by the genetic algorithm by Galapagos extension. Optimizing in the written software is done by the genetic algorithm by Galapagos extension in base of output results from Karamba analysis structure engine. The optimizing accessed results show that the optimizing angle of the diagrid structures’ members with horizon line for mono-layer diagrid os 64/01 and for two-layer diagrid structure is 65/77. The optimizing weight of the mono-layer diagrid is less than two-layer diagrid which by attention to the simple structure in the rapid time and less energy consuming, the mono-layer diagrid is selected as the affordable option. Manuscript profile -
Open Access Article
169 - Optimization of Pile Groups Using Genetic Algorithm
Mehdi Jahangirpour Amin sodagar Aliakbare heshmati Hosein salehzadehAbstract Most civil projects applied to heavy vertical and horizontal loads or in lands do not have enough strength against applied load. Despite heavy expenses, it is necessary to use pile. Pile foundations are much more expensive than spread and mat foundations; henc MoreAbstract Most civil projects applied to heavy vertical and horizontal loads or in lands do not have enough strength against applied load. Despite heavy expenses, it is necessary to use pile. Pile foundations are much more expensive than spread and mat foundations; hence, determining number, dimensions and distances should be done with special care so that these parameters are not determined excessively. For optimized design of pile groups, cost analyses based on settlement equations and bearing capacities to determine number, dimensions and piles distances are necessary. In this research, a computer program has been written in MATLAB language, and by using genetic algorithm which can optimize pile groups design. Outputs of this computer program consist of diameter and length of piles, thickness of pile cap, number of piles and their distances in each direction; therefore, this computer program can design an optimized pile group which tackles technical problems while it is the most economical. Manuscript profile -
Open Access Article
170 - Optimum design of truss structures using particle swarm optimization considering dynamic constraints
siamak talat Hamed EbrahimzadehThese days, truss structures becomes more important due to their high performance. The benefits of frequent use of this particular type of structures include the participation of all members on dividing and distributing of loads, robustness (this means that the collapse MoreThese days, truss structures becomes more important due to their high performance. The benefits of frequent use of this particular type of structures include the participation of all members on dividing and distributing of loads, robustness (this means that the collapse of a limited number of members does not necessarily lead to the collapse of the main structures), covering large spans with minimum consumption, ease implementing, etc. Therefore, the optimization of truss structures can play a significant role on reducing costs. The particle swarm optimization algorithm has a number of advantages compared to other algorithms, which make it superior; some of these benefits is as: a small number of regulatory parameters, good use of required memory and high speed of convergence. The frequency resonances of the structures were selected as the constraints due to prevent large deformation and thereby prevent structural damage. The results of the new proposed algorithm is far better than the original PSO algorithm and other algorithms used in this research in both the rate of convergence and the quality of solutions for finding optimum design of truss structures considering dynamic constraints. Manuscript profile -
Open Access Article
171 - The Application of Data Envelopment Analysis in Fuzzy Queuing Models
Najmeh Malekmohammadi -
Open Access Article
172 - Effects of sodium azide, temperature and incubation time on the production of carotenoid pigments from Micrococcus roseus
mahmud yolmeh morteza khamiri ezatollah ghaemi sanaz ramazanpoor mohamad ghorbaniPigment production from microorganisms is more advantageous than other biological resources such as plants. To date, a research on the effect of chemical mutagens on the production of carotenoid pigments from Micrococcus roseus has not been done. Hence, the aim of this MorePigment production from microorganisms is more advantageous than other biological resources such as plants. To date, a research on the effect of chemical mutagens on the production of carotenoid pigments from Micrococcus roseus has not been done. Hence, the aim of this study was to optimize the production of carotenoid pigments from M. roseus treated with sodium azide. Carotenoid production from M. roseus was significantly increased at the presence of sodium azide mutagen. However, the production of total carotenoid (TC) and biomass dried weight (BDW) from M. roseus was reduced at the presence of high concentrations of sodium azide and high effect duration of sodium azide. Concentration of sodium azide and its treatment duration time had the greatest effect on the pigment production from M. roseus under treatment with sodium azide. Sodium azide concentration of 94.95 µg/L, treatment duration of 13.23 min, incubation temperature of 25.91 °C, and incubation time of 87.87 h were found as the optimum condition for the production pigment from M. roseus under treatment with sodium azide. At this optimum conditions, amount of responses was measured 7.61 mg/L and 8.36 g/L for TC and BDW, respectively. Manuscript profile -
Open Access Article
173 - بهینه سازی استخراج ترکیبات فنولیک از گیاه پونه گاوی (Flomidoschema parviflora) با استفاده از دستگاه اولتراسوند
مجتبی حیدری مجد سید علی مرتضوی جواد اصیلی شادی بلوریان محمد آرمین آنا عبدالشاهیمقدمه و هدف: با پیشرفت علوم و صنایع غذایی گرایش به جایگزینی افزودنی های طبیعی به جای انواع سنتزی در مواد غذایی ‏به وجود آمده است. با توجه به اثرات سوء و نامطلوب آنتی اکسیدان های سنتزی استفاده از آنتی اکسیدان های حاصل از ‏منایع طبیعی در چربی ها و روغن های خ Moreمقدمه و هدف: با پیشرفت علوم و صنایع غذایی گرایش به جایگزینی افزودنی های طبیعی به جای انواع سنتزی در مواد غذایی ‏به وجود آمده است. با توجه به اثرات سوء و نامطلوب آنتی اکسیدان های سنتزی استفاده از آنتی اکسیدان های حاصل از ‏منایع طبیعی در چربی ها و روغن های خوراکی به عنوان یک راه حل منطقی در نظر گرفته می شود. در این پژوهش، ‏بهینه سازی استخراج ترکیبات فنولیک از عصاره متانولی 80 درصد گیاه پونه گاوی با استفاده از اولتراسوند و به کمک روش ‏سطح پاسخ پرداخته شده است.‏. روش تحقیق: ‏برای بهینه سازی فرآیند در آزمون ها 3 عامل دما (15، 30 و 45 درجه سانتی­گراد) ، زمان (15، 35 و 55 دقیقه) و ‏pH‏ ‏‏(6، 7 و 8) هر کدام در 3 سطح مورد بررسی قرار گرفت. این طرح از طریق ‏Box-Behnken‏ در سه عامل و در سه ‏سطح که شامل 17 آزمون است انجام شد. نتایج و بحث: نتایج به دست آمده نشان می دهد که مناسب ترین شرایط برای استخراج ‏ترکیبات فنولیک زمان 47 دقیقه، دمای 34 درجه سانتی­گراد و 6.6‏pH=‎‏ می باشد. ‏در بررسی نتایج و روند نمودارها زمان به عنوان موثرترین عامل شناسایی شد. هم­چنین مقایسه بین دو روش استخراج، یعنی غرقابی و اولتراسوند نشان داد که راندمان استخراج ترکیبات فنولیک در روش اولتراسوند نسبت به روش غرقابی بیشتر است. توصیه کاربردی/ صنعتی: در نهایت عصاره گیری به روش اولتراسوند ممکن است از نظر کارآیی استخراج مواد فنولیک از گیاه پونه گاوی پیشنهاد می شود. Manuscript profile -
Open Access Article
174 - طراحی بهینه ابعاد مقطع کانالهای روباز با استفاده از الگوریتم PSO
محسن منادی میرعلی محمدی Hamed Taghizadehدر این مقاله از الگوریتم بهینه سازی اجتماع ذرات جهت طراحی بهینه مقطع کانالهای روباز با مقاطع مثلثی، مستطیلی و ذوزنقه ای استفاده شده است. متغیرهای مقطع کانالها شامل، عمق، شیب جانبی و عرض کف می باشند. تابع هدف کمینه سازی هزینه ساخت کانال می باشد. برای کدنویسی و بهینه سازی Moreدر این مقاله از الگوریتم بهینه سازی اجتماع ذرات جهت طراحی بهینه مقطع کانالهای روباز با مقاطع مثلثی، مستطیلی و ذوزنقه ای استفاده شده است. متغیرهای مقطع کانالها شامل، عمق، شیب جانبی و عرض کف می باشند. تابع هدف کمینه سازی هزینه ساخت کانال می باشد. برای کدنویسی و بهینه سازی مسئله از نرم افزار MATLAB استفاده شده است. قید مسئله از طریق رابطه مانینگ برای جریان یکنواخت در کانالهای روباز اعمال شده است. تابع هزینه مسئله شامل هزینه عملیات خاکی، هزینه مازاد انجام حفاری و عملیات خاکی در اعماق زیر سطح زمین و هزینه اجرای روکش کانال می باشد. برای بیان مقادیر بهینه متغیرهای مقاطع از توابع ساده با عبارات هزینه واحد استفاده شده است. متغیرهای بهینه مقطع با در نظر گرفتن سطح مقطع حداقل یا محیط پیرامون حداقل به دست امده اند. کلیه برنامه های کامپیوتری در نرم افزار متلب نوشته شده است. نتایج به دست آمده نشان داد که الگوریتم PSO معرفی شده برای طراحی مقطع بهینه کانالهای روباز الگوریتمی قدرتمند می باشد. Manuscript profile -
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175 - مقدار انرژی پیوسته مولکول 3-آمینو-4-نیترامین فورازان با تکنیکهای بهینهسـازی مدرن
Ahmet Sahiner Fatih Ucun Sumeyya Komanتغییـر مقـدار انـرژی سـازگار مولکـول (C2N4O3H2) با دو زاویه پیچشـی ابتدا بـا اسـتفاده از نظریـه تابع چگالـی (DFT) با تابع همبسـتگی -Lee-young par و31-6 مجموعـه پایـه بـر مجموعـهای در برنامه گاوسـی محاسـبه شـد. و پـس از آن، ایـن دادههـا گسسـته به دسـت آمـده با اسـتفاده ا Moreتغییـر مقـدار انـرژی سـازگار مولکـول (C2N4O3H2) با دو زاویه پیچشـی ابتدا بـا اسـتفاده از نظریـه تابع چگالـی (DFT) با تابع همبسـتگی -Lee-young par و31-6 مجموعـه پایـه بـر مجموعـهای در برنامه گاوسـی محاسـبه شـد. و پـس از آن، ایـن دادههـا گسسـته به دسـت آمـده با اسـتفاده از منطق مدلسـازی فـازی (FLM) و شـبکه عصبـی مصنوعـی (ANN) پیوسـته سـاخته شـد. این امـر بـه مـا اجـازه پیش بینـی در مورد دادههای تسـت نشـده و، به دسـت آوردن مقـدار انرژی بهینهسـازی شـده وابسـته بـه دو زاویـه چرخش با هزینه محاسـباتی منطقـی، کارایـی زیـاد و دقـت بـالا را میدهـد . نتایـج بـه دسـت آمـده بـا نتایج DFT بـا اسـتفاده از تجزیه و تحلیل رگرسـیون مقایسـه شـدند. Manuscript profile -
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176 - بهینه سازی معادلات دیفرانسیل خنثی با استفاده از روش MHAM و RSK
شادان صدیق بهزادیدر این مقاله، یک معادله دیفرانسیل خام غیرخطی با استفاده از روش تکراری Rosenbrock، روش تحلیلی Homotype و روش سری قدرت حل شده است. حل تقریبی این معادله در قالب مجموعه ای محاسبه می شود که اجزای آن با استفاده از روابط بازگشتی محاسبه می شوند. برخی از نمونه های عددی برای نشان Moreدر این مقاله، یک معادله دیفرانسیل خام غیرخطی با استفاده از روش تکراری Rosenbrock، روش تحلیلی Homotype و روش سری قدرت حل شده است. حل تقریبی این معادله در قالب مجموعه ای محاسبه می شود که اجزای آن با استفاده از روابط بازگشتی محاسبه می شوند. برخی از نمونه های عددی برای نشان دادن دقت روش های ارائه شده مورد مطالعه قرار می گیرند. Manuscript profile -
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177 - بهینه ساز سنجاب پرنده (FSO): الگوریتم بهینه ساز نوین برمبنای هوش ازدحامی برای حل مسائل مهندسی
غلامرضا عزیزیان فرید میارنعیمی محسن راشکی ناصر شابختیدر پژوهش حاضر یک الگوریتم بهینه ساز نوین ارائه شده است. ایده اصلیِ این الگوریتم، از رفتار سنجاب های پرنده در یافتن غذا و نحوة تعامل آن ها با یکدیگر الهام گرفته شده است. این رفتار شامل پریدن از شاخه ای به شاخه دیگر برای نزدیک شدن به موقعیت غذا و سپس قدم زدن تصادفی برای د Moreدر پژوهش حاضر یک الگوریتم بهینه ساز نوین ارائه شده است. ایده اصلیِ این الگوریتم، از رفتار سنجاب های پرنده در یافتن غذا و نحوة تعامل آن ها با یکدیگر الهام گرفته شده است. این رفتار شامل پریدن از شاخه ای به شاخه دیگر برای نزدیک شدن به موقعیت غذا و سپس قدم زدن تصادفی برای دستیابی به موقعیتِ دقیق غذا می باشد. هم چنین سنجاب های پرنده توسط ایجاد صداهای کوچک و نازکی با یکدیگر ارتباط برقرار کرده و از محیط تقریبیِ غذاهایی هم چون بلوط و غیره، یکدیگر را آگاه می سازند. برای شبیه سازی دو رفتارِ مذکور نیز، به ترتیب از دو تئوری اساسی در حرکت ذرات، شامل پرواز لِوی و قدم زدنِ تصادفی استفاده شده است. نام این الگوریتم FSO می باشد. به علاوه، از دوازده تابع تست الگوریتم برای بررسی کارآیی این الگوریتم استفاده شده و نتایج بدست آمده با الگوریتم های MFO، PSO، GSA، BA، FPA، SMS و FA مقایسه شده است. نتایج حاکی از دقت الگوریتم ارائه شده در مقایسه با الگوریتم های قدرتمند مذکور بوده است. پنج مثال مهندسی نیمه واقعی کلاسیک و یک مثال در حلِ مسائلِ واقعی مربوط به سد بتنی وزنی نیز در این پژوهش ارائه شده است. نتایج بدست آمده نشان دادند که الگوریتم FSO را می توان در حل گستره وسیعی از مسائل مختلف و در محیط های متفاوت به کار برد. Manuscript profile -
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178 - مروری بر الگوریتم های فراابتکاری و تحلیل پوششی داده ها
Mohsen Vaez-ghasemi Zohreh Moghaddas Hamid Askari Feloora Valizadehامروزه بسیاری از فعالیتها از کسب و کار گرفته تا طراحیهای مهندسی، مسیریابی در اینترنت و حتی مسیریابی کامیونهای حمل مواد غذایی و غیره نیازمند برنامه ریزی و بهینه سازی هستند. تعداد زیادی از این مسائل راه حل قطعی نداشته و یا به راحتی قابل حل نیستند و برای حلشان الگوریتمهایی Moreامروزه بسیاری از فعالیتها از کسب و کار گرفته تا طراحیهای مهندسی، مسیریابی در اینترنت و حتی مسیریابی کامیونهای حمل مواد غذایی و غیره نیازمند برنامه ریزی و بهینه سازی هستند. تعداد زیادی از این مسائل راه حل قطعی نداشته و یا به راحتی قابل حل نیستند و برای حلشان الگوریتمهایی با الهام از طبیعت و بر مبنای هوش ذرات، سیستمهای زیستی، فیزیکی، شیمیایی وحتی جوامع انسانی توسعه داده میشوند که نامگذاری بسیاری از آنها نیز بر اساس منبع الهام گیری اولیه است؛ یک الگوریتم بهینه سازی فراابتکاری یک روش ابتکاری است که میتواند باتغییرهایی کم برای مسائل مخلتف بهینه سازی به کاررود الگوریتم های فراابتکاری بطور قابل ملاحظه ای توانایی یافتن جوابهای با کیفیت بالا را برای مسائل بهینه سازی سخت افزایش میدهد . در این مقاله به بررسی و مرور کاربرد انواع الگوریتم های فراابتکاری و تحلیل پوششی داده ها در مسائل بهینه سازی موجود در مجموعه مقالات منتشر شده در چند سال گذشته پرداخته شده است. آنچه که در این مقاله آمده است توضیحاتی درباره کاربرد انواع الگوریتم های فراابتکاری در تحلیل پوششی داده ها ،بیان کاربرد و حوزه فعالیتشان و همپوشانی و استفاده تلفیقی از این دو روش قدرتمند برای دستیابی به جواب بهینه است Manuscript profile -
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179 - یک روش ترکیبی جدید گرادیان مزدوج مبتنی بر معادله سکانت برای حل مسائل بهینه سازی مقیاس بزرگ
نصیرو صلیحو Mathew Odekunle Mohammed Waziri Abubakar Haliluانواع زیادی از الگوریتم های گرادیان مزدوج وجود دارد. به منظور بهره گیری از ویژگی های جذاب روش های لیو و استوری (LS) و سکانت مزدوج (CD) و روش گرادیان مزدوج ، ما ترکیبی از این روش ها که در آن پارامتر به عنوان ترکیبی محدب محاسبه می شود و به ترتیب پارامتر گرادیان (برو Moreانواع زیادی از الگوریتم های گرادیان مزدوج وجود دارد. به منظور بهره گیری از ویژگی های جذاب روش های لیو و استوری (LS) و سکانت مزدوج (CD) و روش گرادیان مزدوج ، ما ترکیبی از این روش ها که در آن پارامتر به عنوان ترکیبی محدب محاسبه می شود و به ترتیب پارامتر گرادیان (بروزرسانی) از معادله Secant بدست آمده است را پیشنهاد می کنیم. الگوریتم جهت نزول را ایجاد می کند و هنگامی که فشردگی تگرار می شود جهت شرایط مناسب نزول را برآورده می کند. گزارش نتایج عددی نشان دهنده کارایی روش ما است.طرح محاسباتی ترکیبی عملکرد بهتری دارد یا قابل مقایسه با الگوریتم گرادیان مزدوج شناخته شده است. همچنین نشان می دهد که روش ما در سطح جهانی با استفاده از شرایط ولف قوی همگراست. Manuscript profile -
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180 - یک الگوریتم فراابتکاری برای بهینه سازی تصمیمات بلند مدت و میان مدت در طراحی شبکه لجستیک
رضا بابازادهامروزه ، صنایع به منظور دستیابی به بیشترین سهم بازارها و رضایت مشتری به دنبال راه هایی برای بهبود رقابت و پاسخگویی خود هستند. بهینه سازی تصمیمات استراتژیک و تاکتیکی در یک شبکه لجستیک عملکرد کل زنجیره تأمین را در یک افق برنامه ریزی بلند مدت بهبود می بخشد. در این مقاله یک Moreامروزه ، صنایع به منظور دستیابی به بیشترین سهم بازارها و رضایت مشتری به دنبال راه هایی برای بهبود رقابت و پاسخگویی خود هستند. بهینه سازی تصمیمات استراتژیک و تاکتیکی در یک شبکه لجستیک عملکرد کل زنجیره تأمین را در یک افق برنامه ریزی بلند مدت بهبود می بخشد. در این مقاله یک مدل برنامه ریزی خطی مخلوط عدد صحیح (MILP) برای بهینه سازی شبکه های لجستیک تحت محدودیت های واقعی مانند تقاضا ، ظرفیت و محدودیت های بودجه ارائه شده است. با توجه به ماهیت سخت NP مدل پیشنهادی ، الگوریتم فراابتکاری (DE) برای حل اندازه های بزرگ مدل ارائه شده در زمان مناسب پیشنهاد شده است. سرانجام ، نتایج محاسباتی به دست آمده از طریق الگوریتم DE با راه حلهای به دست آمده توسط نرم افزار بهینه سازی GAMS مقایسه می شود. نتایج نشان می دهد که روش پیشنهادی ابزاری کارآمد برای بهینه سازی شبکه های لجستیک در مقیاس بزرگ است. Manuscript profile -
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181 - عنوان...بهینه سازی اعتماد در وب سرویس های منفرد با استفاده از سیستم تروفازی
بهارک شاکری اسکی Abolfazl Toroghi Haghighat Mehran Mohsenzadehبه دلیل توسعه اینترنت، استفاده از وب سرویس ها توسعه یافته است. با استفاده از وب سرویس ها، برنامه های توزیع شده می توانند اطلاعات را تبادل کنند. اعتماد معیار اصلی برای انتخاب سرویس وب مناسب است زیرا انتخاب وب سرویس مسئله اصلی است که هنوز هم محققان را برای انجام کارهای تح Moreبه دلیل توسعه اینترنت، استفاده از وب سرویس ها توسعه یافته است. با استفاده از وب سرویس ها، برنامه های توزیع شده می توانند اطلاعات را تبادل کنند. اعتماد معیار اصلی برای انتخاب سرویس وب مناسب است زیرا انتخاب وب سرویس مسئله اصلی است که هنوز هم محققان را برای انجام کارهای تحقیقاتی در این زمینه و تجزیه و تحلیل آن جذب می کند. در این مقاله به دلیل اهمیت اعتماد در انتخاب وب سرویس ها، از سیستم عصبی-فازی برای بهینه سازی اعتماد استفاده شده است. هشت معیار از جمله کیفیت سرویس، ترجیحات کاربر، دیدگاه های ذهنی، دیدگاه های عینی، اعتبار ارزیابی کنندگان، بوت استراپینگ، محاسبات پویا اعتماد و استقلال در سیستم عصبی-فازی در نظر گرفته شده است. برای دستیابی به اعتماد بهینه، 8 تابع عضویت برای سیستم عصبی-فازی در این مقاله در نظر گرفته شده است. در نهایت ، نتایج بدست آمده نشان می دهد که میانگین خطای مربع ریشه ، مقدار دقیق ، مقدار فراخوان و مقدار نمره F سیستم عصبی-فازی: 0.0873٪ ، 0.986 ، 0.988 و 0.987 است. Manuscript profile -
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182 - الگوریتم های فراابتکاری برای حل مشکل امکانات ترمینال در مقیاس واقعی
مهدی فضلی فرزین مدرس خیابانی بهروز دانشیان -
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183 - اندازه های کارایی متقاظع نامغلوب در تحلیل پوششی داده ها با رویکرد اهداف ثانویه
سعید شاه قبادی عباس قماشی فرهاد مرادیتحلیل پوششی داده ها (DEA) یک روش برنامه ریزی ناپارامتریک برای ارزیابی کارایی نسبی مجموعه ای از واحدهای تصمیم گیری متجانس (DMUs) با ورودی های متعدد و خروجی های متعدد است. روش کارایی متقاطع DEA روشی شناخته شده است که برای ارزیابی و رتبه بندی مجموعه ای از واحدهای تصمیم گیر Moreتحلیل پوششی داده ها (DEA) یک روش برنامه ریزی ناپارامتریک برای ارزیابی کارایی نسبی مجموعه ای از واحدهای تصمیم گیری متجانس (DMUs) با ورودی های متعدد و خروجی های متعدد است. روش کارایی متقاطع DEA روشی شناخته شده است که برای ارزیابی و رتبه بندی مجموعه ای از واحدهای تصمیم گیری متجانس استفاده می شود. هر زمان که یک DMU قصد ارزیابی سایر DMU ها را داشته باشد، با مشکل وزن های بهینه غیر یکتای مدل های DEA مواجه می شود. زیرا وزنهای مختلف امتیازات متقاطع متفاوتی را به ما میدهند و این باعث سردرگمی تصمیمگیرنده در تصمیمگیری نهایی میشود. اشکال اصلی این روش، مجموعه راه حل بهینه چندگانه است. هدف اصلی این مطالعه پیشنهاد رویکردی برای حل این مشکل برای ایجاد امتیازهای کارایی متقاطع DEA غیر غالب است. ما یک مدل هدف ثانویه برنامه ریزی خطی را برای انتخاب مجموعه ای از وزن های بهینه برای هر DMU پیشنهاد می کنیم. روش پیشنهادی ما نه تنها ساده تر از روش های دیگر ارائه شده با همین هدف است، بلکه کارایی بیشتری دارد. مثال های عددی برای نشان دادن این موضوع در پایان آورده شده است. Manuscript profile -
Open Access Article
184 - الگوریتم بهینه سازی چندهدفه کرم شب تاب برای طراحی جانمایی کارگاه ساختمانی
Abolfazl Ghadiri داود صداقت شایگان علی اصغر امیرکاردوستاهمیت ایمنی در طرح چیدمان سایت ساخت و ساز یک نیاز ضروری برای بهبود مدیریت پروژه ساختمانی است. در مطالعات قبلی تابع هدف، ایمنی بدون تجزیه و تحلیل عوامل خطر در نظر گرفته شده است. فراابتکاری ها به طور گسترده ای برای حل مسائل برنامه ریزی چیدمان سایت ساخت و ساز استفاده می شو Moreاهمیت ایمنی در طرح چیدمان سایت ساخت و ساز یک نیاز ضروری برای بهبود مدیریت پروژه ساختمانی است. در مطالعات قبلی تابع هدف، ایمنی بدون تجزیه و تحلیل عوامل خطر در نظر گرفته شده است. فراابتکاری ها به طور گسترده ای برای حل مسائل برنامه ریزی چیدمان سایت ساخت و ساز استفاده می شود. الگوریتم کرم شب تاب (FA) به عنوان روش بهینه سازی چند هدفه برای طراحی و بهینه سازی دو تابع هدف ایمنی و هزینه کل استفاده می شود. توابع هدف ایمنی (به دلیل خطرات بالقوه ناشی از منابع خطرناک و جریان های متقابل) اتصال تأسیسات موقت با در نظر گرفتن کاهش هزینه کل. یک مطالعه موردی برای پی بردن به دقت مدل پیشنهادی ارائه شده است. در نهایت، عملکرد دو الگوریتم فراابتکاری به نامهای الگوریتم فایرفلای (FA) و بهینهسازی کلونی مورچهها (ACO) از نظر اثربخشی در حل مشکل طراحی سایت ساختوساز مورد مقایسه قرار گرفتهاند. نتایج نشان می دهد که FA بهتر از الگوریتم ACO عمل می کند. Manuscript profile -
Open Access Article
185 - مدل کنترل موجودی بهینه محصولات منسوخ شدنی با در نظر گیری تاخیر مجاز در پرداخت و تقاضا وابسته به زمان، با استفاده از الگوریتم PSO
حسن زمانی باجگانی محمدرضا غلامیاناین مطالعه یک مدل کنترل موجودی را برای تعیین چرخه بهینه بازپرسازی اقلام منسوخ شدنی ارائه میکند، که در آن تقاضای مشتری به صورت یک تابع کاهشی از زمان در حالت منسوخ شدن ناگهانی در نظر گرفته شده است. علاوه بر این، برای تشویق خریدار به خرید بیشتر، فروشنده می تواند به خریدار Moreاین مطالعه یک مدل کنترل موجودی را برای تعیین چرخه بهینه بازپرسازی اقلام منسوخ شدنی ارائه میکند، که در آن تقاضای مشتری به صورت یک تابع کاهشی از زمان در حالت منسوخ شدن ناگهانی در نظر گرفته شده است. علاوه بر این، برای تشویق خریدار به خرید بیشتر، فروشنده می تواند به خریدار اجازه دهد هزینه را با تاخیر پرداخت کند. بر این اساس، مقاله حاضر بر بررسی یک مدل کنترل موجودی برای اقلام منسوخ شدنی با در نظر گرفتن سیاست اعتبار تجاری و تقاضای وابسته به زمان و حالت منسوخ شدن ناگهانی تمرکز دارد. با توجه به غیر خطی بودن مدل پیشنهادی، از تقریب سری تیلور برای حل آن استفاده شد. علاوه بر این، برای جلوگیری از تأثیر تقریب سری تیلور بر راهحل بهینه، از یک الگوریتم فراابتکاری بهینهسازی ازدحام ذرات کارآمد برای یافتن راهحل نزدیک به بهینه استفاده شد که نشاندهنده پاسخهای بهتر است. سپس مثالهای عددی در مورد مطالعاتی صنعت عمده فروشی تلفن همراه برای نشان دادن اعتبار مدل پیشنهادی در نظر گرفته و حل شد. در نهایت، یک تحلیل حساسیت در زمینه اثرات پارامترهای اصلی بر سود کل و زمان چرخه بازپرسازی انجام شد. نتایج عددی حاکی از آن است که گنجاندن ریسک منسوخ شدگی در مدل موجودی کالا برای اقلام منسوخ شدنی در افزایش سود و در عین حال کاهش هزینه های این اقلام تاثیر بسزایی دارد. Manuscript profile -
Open Access Article
186 - Genetic Algorithm Study and Applications in Engineering and Water Resources Management
Seyed Mostafa Tabatabaei Ali shahidi Shahidi seyed reza hashemiConsidering extent and complexity of water resources systems, it is necessary and requires a comprehensive optimization process to determine the policy and select options and proper strategies For proper operation of water resources systems in different circumstances. I MoreConsidering extent and complexity of water resources systems, it is necessary and requires a comprehensive optimization process to determine the policy and select options and proper strategies For proper operation of water resources systems in different circumstances. In this study the necessity of using evolutionary optimization techniques and discussed a brief description on how to implement a genetic algorithm operators as the most evolutionary practical methods. More studies on genetic algorithm are presented in several sections. In the following, has been investigated advantages and limitations of genetic algorithm and then, presented research on several sections.The results show that Genetic algorithms in solving various problems of water resources, efficiently comes from dissolving the issues with a large space and solve complex problems while ability to achieve the global optimum can be provide in different conditions a series of acceptable answers as solutions. For increase the efficiency of the algorithm and achieving better solutions, According to the nature of the problem can be take optimal advantage of improved versions or combine with simulation models or other methods of mathematical. Manuscript profile -
Open Access Article
187 - Application of Central Force Optimization Method to Design Transient Protection Devices for Water Transmission Pipelines
Seyed Mahmood Jazayeri MoghadasOne of the major challenges in designing under pressure water transmission pipeline is the system protection against water-hammer pressures due to a pump trip. The best strategy is to use air-chamber; which imposes considerable costs. To mitigate the air-chamber volume, MoreOne of the major challenges in designing under pressure water transmission pipeline is the system protection against water-hammer pressures due to a pump trip. The best strategy is to use air-chamber; which imposes considerable costs. To mitigate the air-chamber volume, the use of air-inlet valves is also suggested. Determination of air-chamber volume as well as the type and proper locations of air-inlet valves, aiming at the cost reduction, introduces an optimization problem. To solve this problem, this study exploits the central force optimization (CFO) method. Herein, a case study pipeline is optimized using the proposed model based on the CFO and is compared with results of a genetic algorithm (GA) based model. Both methods yielded almost the same results and led to about 30% saving in the system protection cost. However, a comparison between the methods showed that the CFO dramatically outperforms GA in both terms of computational efficiency and reliability of the results. Manuscript profile -
Open Access Article
188 - Comparison of geostatistic methods for rain gauge network optimization of Khuzestan province
hossein eslami Mojtaba MohammadianDesign of the rain gauge network to increase accuracy and cost decrease in precipitation prediction value needs to find optimum location of the rain gauge station. Most precipitation prediction errors is due to location of the rain gage station that optimum design of th MoreDesign of the rain gauge network to increase accuracy and cost decrease in precipitation prediction value needs to find optimum location of the rain gauge station. Most precipitation prediction errors is due to location of the rain gage station that optimum design of the rain gauge stations can reduce precipitation prediction error. In this study used geostatistic methods named Kriging and cokriging to optimization of the Khuzestan rain gauge station network. 49 rain gauges used for 6 daily rainfall. After determination of the best model of semivariograms and the best geostatistic method, in the first step, the rain gauge which precipitation prediction in them has appropriate accuracy determined with the help of other rain gauge network. Result showed that kriging had more accuracy and most daily rainfalls was fitted with gaussian model. In the next step, using assessment of network prediction error value which remain from first step, the points that needs new rain gage determined. Finally7 unnecessary rain gage stations determined and 5 new rain gages added to the network. Manuscript profile -
Open Access Article
189 - Optimization of Taleghan Dam Reservoir Operation Using Grey Wolf Algorithm and Its Hybrid with Genetic Algorithm
ardavan davani motlagh Mohammad Sadegh Sadeghian Amir Hossein Javid Mohammad Sadegh AsgariDue to population growth, shortage and severe limitation of water resources, one of the basic steps in water management and planning is reservoir optimization. In the present study, after the introduction of the Gray Wolf optimization algorithm, the performance of this MoreDue to population growth, shortage and severe limitation of water resources, one of the basic steps in water management and planning is reservoir optimization. In the present study, after the introduction of the Gray Wolf optimization algorithm, the performance of this algorithm alone and in combination with the genetic algorithm in optimizing the operation of the Taleghan Dam reservoir has been evaluated. The objective function is to minimize the total squares of relative deficiencies in allocating to it each month and maximize reliability throughout the 11-year transition period from 2009 to 2017. Also, the constraints of reservoir continuity equation, reservoir storage volume and reservoir release volume were applied to the objective function of the problem. The results obtained from the performance evaluation indices of the models showed that in terms of time reliability, vulnerability and sustainability indices, the gray wolf-genetic hybrid algorithm with 72.73, 0.28, 24.66 is better than the gray wolf algorithm with 68.93, 0.29, 21.48 and the algorithm. Genetics with 66.66, 0.41, 21.34. Manuscript profile -
Open Access Article
190 - Simulation and Optimization Models for Flood Control by Genetic Algorithm: Application to Karkheh Dam
FARHAD SALEHI Mosen Najarch Mohammad Mehdi Najafizade Mohammad MirhossineThe paper demonstrates a simulation-optimization framework for enhancing the real-time flood control with gated spillways at places where no flood forecasting data is available. A multi-objective modeling scheme is presented for flood management in a gated spillway in w MoreThe paper demonstrates a simulation-optimization framework for enhancing the real-time flood control with gated spillways at places where no flood forecasting data is available. A multi-objective modeling scheme is presented for flood management in a gated spillway in which the operator may specify the priorities on floods based on their different return periods. Two different operation strategies are devised. Both of the operating strategies employ ten-stage policies, which mainly rely on the reservoir water level as the input data. The second strategy benefits from both observed reservoir water level and flood peak. The optimal values of the models parameters are obtained using genetic algorithm. This is a novel approach because none of its policies needs flood forecasting data, thus, making them adaptable to any flood with any return period. To evaluate the performances of the proposed models, the flood control through gated spillway of Karkheh reservoir is considered where flood hydrographs with different return periods are routed through the reservoir. Manuscript profile -
Open Access Article
191 - Optimizing the design of the earth dam body by performing quasi-static and dynamic analyzes using Plaxis software (Case study: Droodzen Dam)
Masoud Mesbahi Majid Abbasizadeh Mohammadreza NikmaneshOne of the effective and very important factors in the stability of earth dams is the shear resistance of earth materials in the body and foundation of the dam, and damages caused by the sliding of earth slopes can cause irreparable damage to an earth dam. Considering t MoreOne of the effective and very important factors in the stability of earth dams is the shear resistance of earth materials in the body and foundation of the dam, and damages caused by the sliding of earth slopes can cause irreparable damage to an earth dam. Considering the importance of earth slopes, the effect of static forces and earthquakes on its stability is extremely important. In this research, the optimization of the design of the Droodzen earth dam body is done by performing quasi-static and dynamic analyzes using Plaxis software. Based on the obtained results, geocell reinforcements increase the safety factor of dam stability and reduce the lateral deformation of the slope due to tensile strength and bending anchor. Also, by increasing the depth of the geocell placement, the tensile strength and bending moment of reinforcing increases, and by reducing the length of the geocell cover, the shear resistance of the top and bottom joint of the geocell decreases. Finally, we should mention that soil compaction leads to a significant increase in tensile force and bending moment along the length of the geocell layer. Manuscript profile -
Open Access Article
192 - Optimization of supply chain delivery to customer and demand management using knowledge management: system dynamics approach
Elham Elmi Adel Azar Farhad GhaffariIn global competition, a variety of products should be made available according to the customer's request, customer's demand for high quality and fast service, increasing the pressures that have not existed before; Consequently, companies for this global competition hav MoreIn global competition, a variety of products should be made available according to the customer's request, customer's demand for high quality and fast service, increasing the pressures that have not existed before; Consequently, companies for this global competition have to use knowledge management and are aware of the necessity of using knowledge in the organization. In this research, we are looking for a model to optimize the supply chain delivery to the customer using knowledge management in petrochemical products manufacturing company, and also due to the dynamic nature of knowledge management and the impact of its components on the supply chain, the system dynamic methodology has been used. More demand and ultimately leads to increased delivery of goods and greater customer satisfaction Manuscript profile -
Open Access Article
193 - Optimization of electrofenton process in removal of lead and phenanthrene resistant to biodegradation from contaminated soils using response surface method
maloos tabatabaee Roya Mafi Gholami mehdi borghei ali esrafilyThis study was performed to use the electrofenton process as an electrochemical oxidation process to remove lead and phenanthrene from soils around the oil refinery in south of Tehran. The reactor used (designed by SolidWorks software) was a discontinuous type with a us MoreThis study was performed to use the electrofenton process as an electrochemical oxidation process to remove lead and phenanthrene from soils around the oil refinery in south of Tehran. The reactor used (designed by SolidWorks software) was a discontinuous type with a useful volume of 500 ml and a graphene electrode as a cathode and an iron electrode as an anode (source of divalent iron ion production). The experiment was designed using the response surface methodology (RSM). Variable parameters were pH of the solution (2, 4, 6, 8 and 10), time of the reaction (12.5, 25.0, 37.5, 50.0 and 62.5 minutes), concentration of hydrogen peroxide (0.5, 1.0, 1.5, 2.0 and 2.5 %w/w), and direct electrical current (0.75, 1.50, 2.25, 3.00 and 3.75 A). The highest percentage of lead removal, 85.4%, obtained at pH of 8, H2O2 concentration of 2 %w/w, direct electrical current of 1.5 A, and time of 50 minutes. Also, the highest percentage of phenanthrene removal, 85.95%, obtained at pH of 6, H2O2 concentration of 1.5 %w/w, direct electrical current of 2.25 A, and the time of 37.5 minutes. The obtained results showed that the electrofenton process was able to remove lead and phenanthrene from the soil around the oil refinery. Manuscript profile -
Open Access Article
194 - Optimization and Characterization of Plant-Mediated Green Synthesis of Copper Oxide Nanoparticles Using Leaf Aqueous Extract of Hibiscus Sabdariffa L.
sahar sadegnia ebrahim molashahi alireza einali omid azizian sharmePhysical and chemical methods for synthesis of nanoparticles are not cost efficient. Present study is the first report to phytosynthesis of Copper Oxide nanoparticles using leaf aqueous extract of Hibiscus sabdariffa L. In this research, 2 ml of extract was added to 4 m MorePhysical and chemical methods for synthesis of nanoparticles are not cost efficient. Present study is the first report to phytosynthesis of Copper Oxide nanoparticles using leaf aqueous extract of Hibiscus sabdariffa L. In this research, 2 ml of extract was added to 4 ml of CuCl2.2H2O with concentration 10 mM. In order to obtain nanoparticles with uniform shape and size, the parameters affecting to synthesis, such as: pH of reaction, volume and concentration of extract, concentration of Copper salt and time of reaction were studied and all of them were optimized by UV-Vis spectrophotometry technique. Transmission Electron Microscopy (TEM) and Fourier Transformation Infra-Red (FT-IR) spectroscopy were used for investigated the shape and size of nanoparticles and detection the functional groups involved in the synthesis and stabilization Copper Oxide nanoparticles respectively. Results showed that the extract of Hibiscus sabdariffa L. can reduces the Cu 2+ ions to Cu 0 atoms with nano metric size and the color of solution changed to green. The TEM image of CuO NPs showed that the average size was between 10-20 nm and all of them had spherical shape. Also, the best condition for the synthesis of Copper Oxide nanoparticles were at: pH= 8, 9 mL of extract with concentration of 5% and CuCl2.2H2O with concentration of 10 mM and these nanoparticles were very stable in 6 days after synthesis. Manuscript profile -
Open Access Article
195 - Synthesis and characterization of copper oxide/graphene oxide naanocomposite functionalized with nanoplatinum for efficient adsorption of cefixime antibiotic from aqueous solutions
Payam Arabkhani Arash AsfaramCefixime is one of the most widely used antibiotics in the world that its presence in the environment, even at low concentrations, causes serious health problems. The current study was conducted with the aim of evaluating the efficiency of copper oxide/graphene oxide na MoreCefixime is one of the most widely used antibiotics in the world that its presence in the environment, even at low concentrations, causes serious health problems. The current study was conducted with the aim of evaluating the efficiency of copper oxide/graphene oxide nanocomposite functionalized with nanoplatinum as an efficient nano adsorbent in removing cefixime antibiotic from aqueous solutions. For this purpose, the effect of the main operating variables on the efficiency of the adsorbent in antibiotic removal was studied and optimized with the surface response method. Also, the adsorption behavior was investigated by isotherm, kinetic, and thermodynamic studies. The results showed that under optimal conditions, the experimental removal efficiency of cefixime was 99.38±1.25% and the Langmuir maximum adsorption capacity was calculated to be 213.41 mg g-1. Also, thermodynamic studies indicated the adsorption process was spontaneous in nature, endothermic, and reversible. The obtained results showed the potential ability of the presented nanocomposite in removing cefixime from polluted water. Manuscript profile -
Open Access Article
196 - بررسی تأثیر عاملهای عملیاتی بر عملکرد حسگر زیستی در اندازهگیری BOD
بهنام مهدوی حمید زیلوئی نورالله میرغفاری -
Open Access Article
197 - بهینهسازی متغیرهای فرایندی در واحدهای پیش تصفیه پساب خروجی صنایع پتروشیمی
فرشاد فرهبد داریوش مولا محمدرضا جعفری نصر محمد سلطانیه -
Open Access Article
198 - Optimizing resources allocation for fog computing-based internet of things networks to reduce latency cost
Amir Hossein Salehi Shayegan Ali Zakeri Adib Salehi ShayeganGrowing popularity of smart devices and 5G Internet, loT technology has also developed. The increase in the number of smart objects has led to an increase in data volumes and computational loads on a large scale. For this reason, cloud computing is used as a solution fo MoreGrowing popularity of smart devices and 5G Internet, loT technology has also developed. The increase in the number of smart objects has led to an increase in data volumes and computational loads on a large scale. For this reason, cloud computing is used as a solution for this amount of data. However, given the importance of service quality, the cloud computing solution may not be responsive to latency-sensitive requests. Allocating resources in cloudy computing also reduces the cost of latency. Dynamic programming has been used due to the large number of requests and problem constraints. The proposed method reduces the cost of latency for loT requests. In this study, the proposed system modeling and algorithms were implemented for four cases. In these cases, two proposed methods have been the contribution of this research that these proposed algorithms have seen a significant reduction in the total latency cost. But as expected, the backward algorithm had a better response than the forward algorithm. Manuscript profile -
Open Access Article
199 - Synthesis analysis and antibacterial activity of selenium nanoparticles produced by Pseudomonas alcaligenes
morahem ashengroph Seyedeh Roya HosseiniBackground & Objectives: Selenium nanoparticles have a wide range application in industry, biomedical and environmental fields due to their unique physical, chemical and photoelectrical properties. This study was aimed to use aquatic bacteria in bioreduction of sele MoreBackground & Objectives: Selenium nanoparticles have a wide range application in industry, biomedical and environmental fields due to their unique physical, chemical and photoelectrical properties. This study was aimed to use aquatic bacteria in bioreduction of selenite oxyanioninto elemental nano-selenium. Materials & Methods: Synthesized selenium nanoparticles were characterized by spectroscopic analysis and electromicrographs prepared by scanning electron microscopy (SEM). The efficacy of the antimicrobial activity of the synthesized selenium nanoparticles against some Gram-positive and Gram-negative human pathogenic bacteria was also investigated by the agar well diffusion test. Results: Sixteen selenite-resistant bacterial strains were isolated based on selective enrichment techniques in Tryptic Soy Agar (TSA) medium containing 5 mM selenite ion. Our results showed that Pseudomonas alcaligenes SR5 coastal seawater isolate can reduce selenite oxyanion into selenium nanoparticles. Furthermore, the results showed that extracellular selenium nanoparticles with an average size of 36 nm were formed in an optimum selenite concentration of 3 mM and an optimum initial biomass concentration of 15 g/l, following 96 h incubation at 25ᵒ C at (200 rpm under resting cell condition. Conclusion: The current study is the first report on extracellular synthesis of selenium nanoparticles using P. alcaligenes. The produced bio-nanoparticles showed a growth inhibitory effect against four tested pathogenic bacterial strains. Manuscript profile -
Open Access Article
200 - Comparison and optimization of antioxidant compounds produced by autochthonous and allochthonous Aspergillus strains
Fatemeh Moshki Nafiseh Sadat Naghavi Masoud FouladgarBackground & Objectives: Antioxidants reduce the risk of cardiovascular diseases, and stroke and prevent the development of cancer by neutralizing free radicals. The present study aimed to produce and optimize the production of antioxidant compounds by Aspergillus s MoreBackground & Objectives: Antioxidants reduce the risk of cardiovascular diseases, and stroke and prevent the development of cancer by neutralizing free radicals. The present study aimed to produce and optimize the production of antioxidant compounds by Aspergillus strains.Materials & Methods: Fungi samples were collected from different regions of Isfahan province or obtained from the Persian Type Culture Collection. Purified fungi samples were inoculated to the Czapek medium to produce antioxidant compounds. Screening and comparison of antioxidant properties of the selected strains were carried out using four assays including free DPPH (Diphenyl pycryle-Hydrazyl) radical reduction, iron radical recovery, and total phenol content and flavonoid content assays. Fungi antioxidant activity was optimized in terms of pH, temperature, and type of carbon and nitrogen sources by single factor and detailed factorial (Taguchi) designed experiments.Results: The highest antioxidant activity was observed in Aspergillus niger isolated from the soil of the Iron melting factory and the highest amount of flavonoid content was shown by Aspergillus fumigatus isolated from greenhouse soil. DPPH radical reduction rate by Aspergillus niger was 89.9% in the optimum condition (pH 6, the temperature of 25°C, sucrose as carbon source and potassium nitrate as nitrogen source). Optimization by Taguchi designed experiments resulted in a 10-15 percent increase in antioxidant compounds production.Conclusion: Autochthonous isolated fungi had high potential to produce antioxidant compounds and can be proposed to related industries. Manuscript profile -
Open Access Article
201 - Optimization of beta-carotene production of Rhodotorula mucilaginosa isolated from the waste leather factory
Sheida Beiranvand Mohaddeseh Larypoor Jamileh NoroziBackground & Objectives: Yeasts have a special value for human in biotechnology because of the production of pigments. Rhodotorula species produce high amounts of beta-carotene. The aim of this study was to maximize the production of beta-carotene at least prices fr MoreBackground & Objectives: Yeasts have a special value for human in biotechnology because of the production of pigments. Rhodotorula species produce high amounts of beta-carotene. The aim of this study was to maximize the production of beta-carotene at least prices from native yeast species. Materials & Methods: The four isolation evaluated were isolated from specific environments during three stages of sampling from the waste leather factory. Subsequently, two isolates of Aa1 and Aa4 were identified using the biochemical test and PCR technique. The production of beta-carotene was determined by the identified isolates and a standard strain in different conditions of salt, nitrogen source, carbon source, aeration, temperature, and pH. Optical absorption of the pigment was read through spectrophotometer at 470 nm. Results: Among the four isolates, only the isolate Aa1 is capable to produce carton-free pigment. The genetic identification of the two isolates Aa1 and Aa4 confirmed 98% similarity to those of Rhodotorula mucilaginosa and Debaryomyces hanseni, respectively. The results showed that the maximum production of beta-carotene was obtained after optimization of 75.6 μg/ml for Rhodotorula mucilaginosa and 32.7 μg/ml for Rhodotorula glutinis (standard strain). Conclusion: The isolation of native species and the optimization of its functional activities in the laboratory is not only useful in the production of high-quality industrial products, but also the use of the native species is highly economical. Manuscript profile -
Open Access Article
202 - Improvement of protease production by Chryseobacterium indologenes BYK27 and its application in de-colorization of blood on clothes
Yasamin Binabadi Arastoo Badoei-dalfard Abdolhamid Namaki-ShoushtariProtease is one of the most important industrial enzymes occupying nearly 60% of global enzyme sales. Extracellular protease finds numerous applications in industrial processes like in leather tanning, detergents, dairy, brewery as well as meat tenderization industries. MoreProtease is one of the most important industrial enzymes occupying nearly 60% of global enzyme sales. Extracellular protease finds numerous applications in industrial processes like in leather tanning, detergents, dairy, brewery as well as meat tenderization industries. In spite of that, the low level of enzyme production is the main challenge of industrial production of enzyme. Therefore, optimization of industrial protease production and its application in blood de-staining were the aims of this study. The sewage samples were cultivated on the skim milk agar. BYK27 isolates with the highest clear halo around the colonies were selected for further studies. Optimization of parameters affecting protease production by Chryseobacterium indologenes BYK27 was studied by Taguchi approach. De-staining ability of protease was also investigated by de-colorization of bloody cotton cloth. The optimal factors for protease production by Ch. indologenes BYK27 were found to be the temperature of 40 ˚C, pH of 9.0, 0.06% yeast extract and 1% glucose supplements. Protease production under optimal condition was found to be 590 (U/ml) which was improved by 63%, as compared to the basal medium. The protease activity and stability were increased 50% by beta-mercaptoethanol but inhibited about 88% by DMF. In addition, BYK27 protease was able to completely de-stain blood after 20 min of incubation. The results of this study indicate that BYK27 protease has biotechnological potential, specifically in the detergent industry and provision of valuable compounds. Manuscript profile -
Open Access Article
203 - Optimization of culture conditions for the production of phytase enzyme by Bacillus subtilis soil isolates
Maryam Parhamfar Hamid Abtahi Milad ParhamfarBackground & Objectives: Phytate is the primary storage form of phosphorus in plant seeds. It has an anti-nutritive effect in both human and animals. Phytase is a subgroup of phosphatases which catalyzes the hydrolysis of phytate. Microbial phytases have potential b MoreBackground & Objectives: Phytate is the primary storage form of phosphorus in plant seeds. It has an anti-nutritive effect in both human and animals. Phytase is a subgroup of phosphatases which catalyzes the hydrolysis of phytate. Microbial phytases have potential biotechnological application in various fields, such as agriculture, human and animal foods. This study was aimed to investigate the optimal conditions for the production of phytase by Bacillus subtilis isolated from the soil. Materials & Methods: Samples were collected from Arak area, where the soil was contaminated with animal faces. Samples were incubated in PSM medium at 30 ºC for 48 hours. The screening of phytase - producing bacteria on PSM media was performed based on the formation of the clear halo. The most suitable bacterial strain was identified according to its biochemical and morphological characteristics. The level of enzyme production and phosphate- solubilising activity of this strain was assessed in different pH range, and on various media types including PSM, PVK, NBRIP, as well as NBRIY. Results: In this study, maximum enzyme production by the bacterial isolates has been observed following 36-48h incubation in PSM medium. 12S phytase- producing bacterial strain was identified as Bacillus subtilis. Our results showed that the optimum pH for phytase production in PSM medium is pH of 7. Furthermore, investigating different media, phytate-containing PVK was recognised as the most appropriate medium for enzyme production. Conclusion: B. Subtilise isolate can provide an opportunity to introduce new phytase to food as well as environmental industries. Moreover, PVK can be used as an effective medium to produce phytase enzyme and to screen phytase-producing bacterial starins. Manuscript profile -
Open Access Article
204 - Optimization of fermented cow meat quality by lactic acid bacteria in batch fermentation
Elham Rahnama Nafiseh Sadat NaghaviBackground & Objectives: Lactic acid bacteria are essential factors for obtaining optimum sensory aspects in fermented meat. The aim of this study was the enhancement of cow meat quality by optimization of acid production using Lactobacillus sakei and Lactobacillus MoreBackground & Objectives: Lactic acid bacteria are essential factors for obtaining optimum sensory aspects in fermented meat. The aim of this study was the enhancement of cow meat quality by optimization of acid production using Lactobacillus sakei and Lactobacillus plantrum in batch fermentation. Materials & Methods: In this cross-sectional descriptive study, L. sakei subsp. sakei PTCC1712 and L. plantrum PTCC1058 were grown in MRS medium and confirmed by molecular identification. Using Taguchi software (16 version), trials were designed to optimize three factors including temperature, bacterial inoculation, and glucose supplementation. The results were analyzed based on detection of acid production and compared by ANOVA program. Total product bacteria, lactic acid bacteria, Enterobacteriaceae, and yeasts/molds were counted by standard microbial methods. Results: Maximum acid production for L. sakei was detected at 36 ºC, 10% glucose and 8000 CFU.g-1 inoculated bacteria; and for L. plantarum was detected at 37 ºC, 10% glucose, and 9000 CFU. g-1 inoculated bacteria. The best factor affecting pH decline was a carbon source for both bacterial strains. Lactic acid bacteria showed a fourfold increase after fermentation and maintained 60% of their viability following heating stage. No Enterobacteriaceae was found in the product, and other pathogens showed a great decrease. Using both strains simultaneously, 6.9% improvement in acid production was observed. Conclusion: Both Lactobacillus strains had similar conditions for cow meat fermentation and showed synergistic activity for acid production when used simultaneously. Manuscript profile -
Open Access Article
205 - Optimization of L-asparaginase production using native soil-isolated Bacillus sp. and evaluation of its anticancer activity
Forough Rahnamay Roodposhti Leila Asadpour Mahdi Shahriarinour Behnam Rasti Sajjad GharaghaniBackground and Objectives: Bacteria are one of the most important sources of L-asparaginase (ASNase) production which is used as an anticancer agent in the treatment of acute lymphoblastic leukemia worldwide. This study aimed to optimize the ASNase production by bacteri MoreBackground and Objectives: Bacteria are one of the most important sources of L-asparaginase (ASNase) production which is used as an anticancer agent in the treatment of acute lymphoblastic leukemia worldwide. This study aimed to optimize the ASNase production by bacteria isolated from the soil in northern Iran, and to determine its anti-cancer activity. Materials and Methods: ASNase production by bacterial strains isolated from forest soil samples in Guilan Province, northern Iran was investigated. The optimized condition of enzyme production, kinetics, effect of activators and inhibitors and anticancer activity of the partially purified L-asparaginase against MCF-7 cell lines were studied. Results: A promising ASNase producing isolate, was identified by 16S rRNA gene sequencing as Bacillus sp. The glutaminase activity of the enzyme was found to be 5.9 times lower than its asparaginase activity and the enzyme showed affinity for L-asparagine with a Km value and Vmax of 0.055M and 35.71 µM/mL/min, respectively. The current ASNase enzyme was stable from pH 6.5 to 8.5 and stable up to 55°C. ASNase activity was not significantly affected by the presence of two metal ions Na+, K+; Mg2+ showed enhancement in enzyme activity, while Ca2+ decreased it. Anticancer activity of the purified L-asparaginase was detected against MCF-7 cell lines with IC50 of 21µg/ml. Conclusion: The soil isolate Bacillus sp. was identified as a candidate for L-asparaginase production. The future prospect of this enzyme recommends its utility in pharmaceutical and food industry. Manuscript profile -
Open Access Article
206 - Optimization of carotenoid pigment production by native strains Haloarchaea lipolitical
Masoumeh Mohammadi Ahmad Ali Porbabaei Ali JavadiBackground & Objectives: The halophilic Archaea are strong sources of carotenoid pigments. These compounds are used in the pharmaceutical industries and fisheries due to their antioxidant, anti-tumor and pigmentation properties. This study was aime MoreBackground & Objectives: The halophilic Archaea are strong sources of carotenoid pigments. These compounds are used in the pharmaceutical industries and fisheries due to their antioxidant, anti-tumor and pigmentation properties. This study was aimed to increase the production of pigment Carotenoids by the strains Haloarchaea lipolitical. Materials & Methods: This experimental study was performed on H. lipolitical, isolated previously from water sources located at Bushehr. Effects of several factors, temperature, pH, carbon sources, nitrogen sources, different percentages of sodium chloride ions and the impact of heavy metals were compared with the standard curve to optimize the pigment production in H. lipolitical. Results: Statistical analyzes showed the optimal amount of carotenoid pigment production conditions at a temperature 35℃ for 88 hours (39.3 µg), pH 8 for 120 hours (15.77 µg), casein peptone nitrogen source and yeast extract for 72 hours (13.28 µg), NaCl 16% for 96 hours (15.77 µg), starch carbon source for 96 hours (4.44µg) and the presence of manganese sulfate for 120 hours (59 µg). Conclusion: Due to non-pathogenicity of Archaea, the availability of suitable sources for their growth and high levels of salt in the culture, this strain can be used for the production of carotenoids in various industries. Manuscript profile -
Open Access Article
207 - Optimizing methods of identifying Escherichia coli strains from ice cream on 16S rDNA
Maryam Ranjbar Mohammad Goli Gholamreza Ghalamkari Mostafa Manian Mohammad Reza Meracy Reza NedaeiniaBackground & Objectives: Milk and its products support the growth of infectious germs such as Escherichia coli, the most important agent of food contamination, in special conditions. This study was aimed to optimize the methods of identification of E. coli strains f MoreBackground & Objectives: Milk and its products support the growth of infectious germs such as Escherichia coli, the most important agent of food contamination, in special conditions. This study was aimed to optimize the methods of identification of E. coli strains from ice cream based on 16S rDNA. Materials & Methods: In this cross-sectional study, 82 bacterial strain were isolated from 200 ice cream samples collected from different regions of Isfahan. Of these, 48 positive indole strains were isolated. The isolation was carried out based on Iran’s national standards (No. 2946) and using chromogenic media on a comparative basis. After numerical analysis, the 16SrRNA was amplified by PCR and the amplified genes were sequenced. Results: We observed that the method used in the national standard is 88 % reliable with 12 % error. Moreover, the positive indole strain such as Escherichia hermannii, Providencia rettgeri, Klebsiella oxytoca, Morganella morganii showed errors in the final result. Conclusion: We demonstrated that culture media containing chromogenic materials could identify Escherichia coli with a more accurate, simple, quick and inexpensive procedure. Manuscript profile -
Open Access Article
208 - A study to investigate effects of pH, inoculum percentage and pulp density on the ferric ion production from pyrite using mixed mesophilic bacteria
Hadi Hani Bahman Nazari Esmaeil Jorjani Ali RiahiBackground and Objectives: Biological dissolution of pyrite leads to production of ferric ion and sulfuric acid. The produced ferric ion is a strong oxidant agent, which is able to dissolve different metal sulfides. This study aimed to examine effects of pH, pulp densit MoreBackground and Objectives: Biological dissolution of pyrite leads to production of ferric ion and sulfuric acid. The produced ferric ion is a strong oxidant agent, which is able to dissolve different metal sulfides. This study aimed to examine effects of pH, pulp density and inoculation percent of bacteria on extraction rate of ferric iron ions from pyrite using a mixture of mesophilic bacteria. Material and methods: The pyrite sample was prepared from a pyrite lode in Midok copper mine. A mixture of mesophilic bacteria, including 40% Acidi thiobacillus ferrooxidans, 40% of Acidithiobacillus thiooxidans and 20% of Leptasprillum ferrooxidans, was used for all leaching tests. Results: According to results, effect of pH was more significant in bioleaching of pyrite and production of ferric ion than other factors. The maximum amount of produced ferric (1.93 g/l) was earned at pH 2, a pulp density of 25 g/l and inoculation percent of 15%. Conclusion: The desired amounts of byproducts of pyrite dissolution can be obtained by operational parameters such as pH, pulp density and inoculation percent in bioleaching. Thus, by taking into account the optimal conditions of mentioned parameters, it is possible to increase the production efficiency of valuable metals by hydrometallurgy processes of ferric ions. Manuscript profile -
Open Access Article
209 - Optimizing the HS medium for the production of microbial cellulose nanofibers using Acetobacter xylinum
Fatemeh Nouri Rouzbahani Fatemeh Ashrafi Soheila Moradi BidhendiBackground & Objectives: Bacterial cellulose synthesized by some microorganisms, including Acetobacter xylinum, has been widely used in various industries due to its specific properties. The purpose of this study was to optimize the cultivation condition for the pro MoreBackground & Objectives: Bacterial cellulose synthesized by some microorganisms, including Acetobacter xylinum, has been widely used in various industries due to its specific properties. The purpose of this study was to optimize the cultivation condition for the production of microbial cellulose in a new culture medium. Materials & Methods: In this experimental study, new sources of carbon and nitrogen were added to the Hestrin-Schramm medium, containing A. xylinum, and incubated for 7 days under static conditions. Carbon sources included glucose, galactose, fructose, lactose, sucrose, maltose, ethanol, methanol, inositol, glycerol, xylose, and mannitol and nitrogen sources included ammonium sulfate, ammonium nitrate, sodium nitrate (1, 3, 6, 9 g/l HS medium), peptone and yeast extract (5, 10, 15, 20 g/l HS medium). Sodium alginate and sodium acetate were used to investigate the viscosity effect and to adjust the medium pH. Scanning electron microscopy, X-ray diffraction, and FTIR spectroscopy technique were used in order to confirm the cellulose production. Sodium alginate and sodium acetate were used to investigate the viscosity effect and determine the pH adjustment. Scanning electron microscope, X-ray diffraction and FTIR spectroscopy technique were used in order to confirm the cellulose production. Results: Four carbon sources including glycerol (without a significant drop in pH), glucose, fructose, and inositol produced the highest amount of cellulose, respectively. Organic nitrogen sources, particularly peptone, had a great impact on cellulose production, unlike mineral nitrogen sources. The optimum amount of sodium alginate as the viscosity agent and sodium acetate as the buffer was 1.2 and 3 gram per liter of culture medium, respectively. X-ray diffraction showed the highest crystallinity index in medium containing glucose, fructose, inositol, and glycerol, respectively. The amount and intensity of infrared absorption in FTIR scanning of the products of culture media containing glucose and glycerol and comparing them with other similar cellulose graphs confirmed the cellulose production. Furthermore, Scanning Electron Microscopy studies clearly showed a nanofiber structure of microbial cellulose in media with better carbon sources. Conclusion: According to our findings, glycerol and peptone have the most impact on microbial cellulose production. It was also indicated that addition of 2.1 g/ L sodium alginate to the culture medium as the viscosity agent along with pH control during the process by adding 3 g/ L sodium acetate can have a significant effect on cellulose production. Manuscript profile -
Open Access Article
210 - Optimization of polyhydroxybutyrate production with novel strain bacillus cereus separated from petrochemical wastewater
khosro Issazadeh Saba Amiri Kojuri zoheir Heshmatipour Mirsasan Mirpour Saeid ZarrabiBackground & Objectives: Polyhydroxybutyrate is a biopolymer Produced by bacteria. Also, with having chemical and physical characteristics similar with artificial plastics are completely biodegradable and compatible with life-environment. This study has been done wi MoreBackground & Objectives: Polyhydroxybutyrate is a biopolymer Produced by bacteria. Also, with having chemical and physical characteristics similar with artificial plastics are completely biodegradable and compatible with life-environment. This study has been done with the purpose of separating and knowing one local strain with the ability of high-production for industrial purposes.Materials & Methods: In the present analytical research, the sampling from petrochemical wastewater has been done. The existence of polyhydroxybutyrate in separations has been studied with Sudan black staining. One separation of bacillus was chosen to increase the production of polyhydroxybutyrate. This separation was distinguished with biochemical methods and determining 16S rRNA gene sequencing. The final confirmation of Polyhydroxybutyrate synthesis was done through Fourier transform infrared spectroscopy and Proton nuclear magnetic resonance. To increase more production of polyhydroxybutyrate, the effect of different factors including carbone, nitrogen, pH and temperature were assessed. Results: As a whole, eight bacterial isolation producing polyhydroxybutyrate were separated that among them the one novel strain of bacillus cereus was chosen as better separation. The best conditions to increase more production of polyhydroxybutyrate, was the application and use of glucose as carbon source, ammonium sulphate as nitrogen source, 7 pH and 30°C temperature.Conclusion: Valuable data on optimized conditions for PHB production has been obtained through the present research that can be used at industrial level for PHB production, so it can be called a quick appearing alternation for petroleum based on synthetic plastic. Manuscript profile -
Open Access Article
211 - Loop-mediated isothermal amplification: Rapid and cost-effective method for detection of pathogens
Ahzam Askari Mohammad Kargar Sadegh Ghorbani-Dalini Abbas DoostiLoop-mediated isothermal amplification (LAMP) is nucleic acid amplification method that amplifies target isothermally at 62-65˚C. In this approach, withouth thermal denaturation step, double stranded DNA is simultaneousely denatured and synthesized by using the Bst (Bac MoreLoop-mediated isothermal amplification (LAMP) is nucleic acid amplification method that amplifies target isothermally at 62-65˚C. In this approach, withouth thermal denaturation step, double stranded DNA is simultaneousely denatured and synthesized by using the Bst (Bacillus stearothrmophilus) DNA polymerase with high strand displacement activity. Thus the reaction can be conducted with a cost-effective quipment such as water bath or heating block, and the thermal-cycling needs of a PCR are avoided. The LAMP reaction uses six primers that specifically recognize eight distinct regions on the target sequence. Moreover, the LAMP reaction produces a large amount of amplified products, resulting in easier detection, such as visual judgment based on the turbidity or colour change result from fluorescent dsDNA intercalating dye in the reaction mixture, so gel electrophoresis is not required. Therefore, the LAMP assay has the advantages of high specificity, sensitivity, amplification efficiency and simple detection, that without the need for expensive equipment could be applicable as valuable tool for rapid diagnosis of infectious diseases in both clinical and hospital laboratories of developing countries. The aim of this article is to introduce the principles and applications of LAMP method for detection of infectious agents. Manuscript profile -
Open Access Article
212 - Investigation of Mean-variance efficiency frontier patterns of portfolios under possible theory
Behnaz Ghadimi Mehrzad Minouei Gholamreza Zomorodian Mirfeiz FallahOne of the most important problems of the proposed methods in measuring the portfolio Efficiency frontier patterns is not considering the uncertainty in financial variables such as risk and return. In this regard, the development of various optimization theories and Ext MoreOne of the most important problems of the proposed methods in measuring the portfolio Efficiency frontier patterns is not considering the uncertainty in financial variables such as risk and return. In this regard, the development of various optimization theories and Extract optimal efficiency frontier of a portfolio in financial sciences to understand and identify aspects of uncertainty in the decision environment and possible events in space of uncertainty and ambiguity of capital markets have been invented and developed. Among the theories proposed in terms of uncertainties, the theory of possibility can be considered the most appropriate and accurate theory in interpreting and proving uncertainties in stock portfolio optimization. For this reason in the forthcoming research to further adapt portfolio optimization models And recognizing the efficient space congruous to reality to extract returns and portfolio risk by mathematical inference in an uncertainty space with emphasis on possible theory. In this study of the concept of fuzzy random variable and fuzzy theory and Fuzzy obligation, In order to cover the uncertainty existing in Cognition and determine the efficiency frontier Mean - portfolio variance Used under the theory of possibility. Manuscript profile -
Open Access Article
213 - Estimation of loan repayment loss in Sarmayeh Bank using weed optimization meta-heuristic algorithm
zahra Rahmani Mohammad Ebrahim Mohammadpoor Zarandi Mohammadali keramatiLiquidity management has been one of the biggest challenges facing the banking system in Iran in the acute inflation conditions in recent years. Facilities granted by banks, regardless of inflationary conditions, usually lead to hidden losses in repayment of loans, resu MoreLiquidity management has been one of the biggest challenges facing the banking system in Iran in the acute inflation conditions in recent years. Facilities granted by banks, regardless of inflationary conditions, usually lead to hidden losses in repayment of loans, resulting in reduced profitability and the risk of inability to meet obligations, resulting in the risk of bankruptcy. The present study aims to estimate the loan repayment loss in Sarmayeh Bank using the weed optimization meta-heuristic algorithm. In the present study, a model was designed to examine the loan repayment loss. Also, to compare the calculated results using the proposed heuristic formula and the income of the granted financial facilities in terms of loan repayment loss prediction, weed optimization meta-heuristic algorithm was used. The results showed that there is a negative correlation between loan repayment losses and the growth of Sarmayeh Bank profitability in high inflation conditions. Also, comparing the loan loss prediction between the calculated results using the proposed heuristic formula, the number predicted by the weed optimization algorithm and the income of the granted financial facilities showed that the loan repayment loss using the weed optimization meta-heuristic algorithm can be calculated. Manuscript profile -
Open Access Article
214 - تاثیر بکارگیری تحلیل های مبتنی بر وب بر سنجش عملکرد و بهینه سازی بازاریابی دیجیتال (مطالعه موردی: شرکت های دیجیتال محور در تهران)
مجید فانی سید مهدی جلالی شادان وهاب زاده -
Open Access Article
215 - Design and implementation of digital ecosystem risk analysis model based on ANP and COBIT, studied in FMCG investment holding
Morteza Farhadi Sartangi Hossein Moinzad Mohammad Hadi AkbarzadehIn the hectic world of today, with the rapid changes in various aspects such as political, cultural, social, and technological, leading organizations and industries, are paying special attention to their strategic planning. In addition, with the emergence of new technol MoreIn the hectic world of today, with the rapid changes in various aspects such as political, cultural, social, and technological, leading organizations and industries, are paying special attention to their strategic planning. In addition, with the emergence of new technology and the fast growth of the internet, Digital ecosystems became an inevitable part of the strategic plans, since the future is intertwined with digital business. Digital business creates significant changes in the business ecosystem of organizations, which makes the organization more complex and the need to make strategic decisions related to digital transformation. Digital ecosystems are the digital counterpart of economic ecosystems, which change the way businesses cooperate and compete with strong, and organized architecture and can provide dynamic solutions to complex problems.In this research, by using the COBIT framework and ANP, graph network, and Markov chain, a model has been proposed to measure and analyze the risk of branding management in a digital ecosystem. By evaluating the current status of the risk parameters in an FMCG investment corporate, the research proposed solutions and optimizations, based on a Genetic algorithm and MATLAB software to increase the effectiveness of branding management in the investment Corporate. Manuscript profile -
Open Access Article
216 - Multivariate Portfolio Optimization under Illiquid Market Prospects
Nastaran Sarvipour fatemeh samadiThe aim of the current research is to optimize the multivariate portfolio optimization algorithms under illiquid market (commodity and financial) perspective. In this regard, an optimization model for portfolio risk-return assessment with LVaR constraints is investigate MoreThe aim of the current research is to optimize the multivariate portfolio optimization algorithms under illiquid market (commodity and financial) perspective. In this regard, an optimization model for portfolio risk-return assessment with LVaR constraints is investigated using reasonable financial and operational scenarios. This approach is achieved by minimizing LVaR. The research method is descriptive and correlational. The statistical population is the companies admitted to the Tehran stock exchange, which were selected by systematic elimination sampling (screening) of 100 companies that were present in the stock exchange during the financial years of 1392-1399.The required information was extracted through the new Rah Avard software and the official website related to the Tehran Stock Exchange Organization. The unit root test of the variables was investigated using the method of Lin and Chui, and the basics of econometrics were discussed, and the variables were investigated using the vector auto-regression method (VAR) using Eviews and MATLAB statistical software. Based on the results, it can be said; Liquidity affects commodity and financial markets. Also, the effect of optimization algorithms and modeling techniques on portfolio management and risk assessment was confirmed Manuscript profile -
Open Access Article
217 - Optimization portfolio selection model with financial and ethical considerations
elham fallahi ganzagh Farimah Mokhatab RafieiThe moral investment movement that began in the 1960s in the United States has recently led to a massive move around the world. Growing cases of corporate scams and scandals have pushed investors to consider the quality of corporate governance and the ethics of their be MoreThe moral investment movement that began in the 1960s in the United States has recently led to a massive move around the world. Growing cases of corporate scams and scandals have pushed investors to consider the quality of corporate governance and the ethics of their behavior. Also, investors are becoming aware of the desirability of moral aberration of assets.The growing influence of institutional investors has strengthened this awareness. Hence, in order to research in this field, there should be an understanding of the progress made in constructing models that are consistent with financially ethical considerations. We use multiple methodologies to achieve this goal. To obtain the ethical performance scores of each asset, based on the investor's preferences, a hierarchical process approach has been used. A multi-faceted decision-making method is used to obtain the rating of each asset based on the investor's rate on the financial benchmark. Model of portfolio optimization is available to obtain diverse, reliable, and well-matched portfolio portfolios. The purpose of this model is to maximize the financial purpose as the primary purpose and maximize the ethical goal adopted by the investor. Manuscript profile -
Open Access Article
218 - Stock Portfolio Optimization with MAD and CVaR Criteria by Comparing Classical and Metaheuristic Methods
Mohammad reza Haddadi Younes Nademi Fateme TafiChoosing the optimal stock portfolio is one of the main goals of capital management. There are several criteria for choosing the optimal portfolio. In this paper, using data of 10 stocks which randomly selected from the Tehran Stock Exchange including Vanovin, Vakharazm MoreChoosing the optimal stock portfolio is one of the main goals of capital management. There are several criteria for choosing the optimal portfolio. In this paper, using data of 10 stocks which randomly selected from the Tehran Stock Exchange including Vanovin, Vakharazm, Seghrab, Shepna, Vapetro, Dana, Khasapa, Shekarbon, Shadous and Khahen, first the returns of these stocks are calculated and their portfolio risk is calculated using the models of absolute deviation risk and risk value, and these two criteria are compared by the classical solution method. The portfolio optimization output with each of these risks represents a different weight per share. In the optimization with the risk criterion of absolute deviation, the Dana has the highest weight and in the optimization with the value at risk criterion, the stocks of Segharb, Shepna and Shekarbon have the most weight. In the following, the deviation-absolute risk model and value at risk model of metaheuristic method are compared. The results show that the NSGA2 model of metaheuristic method compared to the classical method in solving portfolio optimization problem showed more risk in both MAD and CVaR criteria and therefore it is a better method to solve such portfolio optimization problems. Manuscript profile -
Open Access Article
219 - Higher moments Portfolio Optimization based on Generalized CAPM with asymmetric power distribution and fat tail
Ali Souri Saeid Fallahpour Bahman EsmaeiliEvery investor wants to select the optimal combination of return and risk in order to maximize their utility. In this study, an attempt was made to explain the optimal model for estimating returns and risk in cases where there is a financial crisis and the distribution MoreEvery investor wants to select the optimal combination of return and risk in order to maximize their utility. In this study, an attempt was made to explain the optimal model for estimating returns and risk in cases where there is a financial crisis and the distribution of return on assets does not follow the normal distribution.For this purpose, we use CAPM with independent and identically asymmetric power distribution (CAPM-IIAPD) and CAPM with independent identically saymmetric exponential power distribution with two tail parameters (CAPM-IAEPD) instead of traditional CAPM. When the assumption of normality is violated, higher moments are used to optimize the model. In the next step, using Polynomial Goal Programming, we calculate optimal portfolios with third and fourth moments.The time horizon of the research from 2011 to 2018 and the statistical population has been all the companies of Tehran Stock Exchange, among which 30 companies have been selected.The results show that CAPM-IIAPD Model is the best model among three models and the adjusted return on risk in optimized models with thirs and fourth moemnts in generalized CAPM models is significantly different from the traditional model and has a better performance. Manuscript profile -
Open Access Article
220 - Identify and rank the factors affecting stock portfolio optimization with fuzzy network analysis approach
Alireza Zamanpour Majid Zanjirdar Majid Davodi NasrThe Impact of Observing the Principles and Rules of Correct Communication on Project Management (Case Study: Karaj City) In recent years, many efforts have been made to guide investors in proper investment and numerous models have been offered. The concepts of portfolio MoreThe Impact of Observing the Principles and Rules of Correct Communication on Project Management (Case Study: Karaj City) In recent years, many efforts have been made to guide investors in proper investment and numerous models have been offered. The concepts of portfolio optimization and diversification have become tools for developing and understanding financial markets and financial decisions. In most optimization methods, the optimal answer and its accuracy are highly dependent on inputs to the extent that a more appropriate and accurate selection of input variables will be very important in stock portfolio optimization. In this research, through a regular and logical process based on the judgment method in a survey of 14 experts in the field of capital market investment and a quantitative and multivariate model of fuzzy network analysis, to assess the level of importance, ranking and refining the effective factors. Portfolio optimization was undertaken. Based on the analysis, the variables of profit volatility, return on capital, company value, market risk, stock profitability, financial structure, liquidity and survival index can be introduced as the most important factors affecting the optimization of the stock portfolio. Manuscript profile -
Open Access Article
221 - Development a new ensemble learning approach for stock portfolio selection using multiclass SVM and genetic algorithm
nasrin bagheri mazraeh amir Daneshvar mehdi madanchi zajThe volume and speed of transactions in financial markets has increased significantly and has undergone extensive changes nowadays. Facing with increasing, decreasing or fluctuating trends in the stock market, determining the right trading strategy is very important. Th MoreThe volume and speed of transactions in financial markets has increased significantly and has undergone extensive changes nowadays. Facing with increasing, decreasing or fluctuating trends in the stock market, determining the right trading strategy is very important. Therefore, complex meta-heuristic models are used for choosing a suitable strategy. In this research, an attempt is made to develop a new method of selecting and optimizing the stock portfolio based on the ensemble learning algorithm and genetics in order to select the best trading strategy to achieve greater returns and less risk. A combination of a six-class support vector machine (SVM) algorithm is used to predict returns and receive a buying signal; besides, a dynamic genetic algorithm is used to optimize trading rules. In this study, collective learning methods including Bagging, one of the algorithms based on Ensemble Learning, have been used to improve the accuracy of classification of returns. Data related to each share and fundamental variables in a daily time interval between years 1390 to 1399 is used as training and test data. The obtained results, comparing to traditional methods, are promising. Manuscript profile -
Open Access Article
222 - Adaptive Neural Inference System (ANFIS) and Grid Matrix (GA) Strategies Approach in Optimizing the Investment Portfolio in Tehran Stock Exchange and OTC Iran
ALI SHEIDAEI NARMIGI Fereydun Rahnama roodposhti Reza RadfarPortfolio optimization is a process in which the investor seeks to maximize return on investment or minimize risk. One of the main issues is to determine the optimization method, which is to form an optimal investment portfolio, which means minimizing investment risk an MorePortfolio optimization is a process in which the investor seeks to maximize return on investment or minimize risk. One of the main issues is to determine the optimization method, which is to form an optimal investment portfolio, which means minimizing investment risk and maximizing investment profit. The aim of this study was to investigate the capability of adaptive fuzzy neural inference system (ANFIS) and grid matrix (GA) strategies in selecting and optimizing the investment portfolio from among selected Tehran Stock Exchange and OTC companies. The grouping of stocks by the network matrix and the classification of companies based on their market value and the use of the law of quarters and finally their weighting is considered in proportion to the forecast return for the next month of that share. Also, a stock portfolio optimization model has been designed and presented using an adaptive fuzzy neural inference system and its combination with a genetic algorithm in which three different categories of time, technical and fundamental series variables are used as model inputs. It becomes. Research outputs show that these systems have the ability to optimize the stock portfolio. Manuscript profile -
Open Access Article
223 - Designing a credit portfolio optimization model in the banking industry using a meta-innovative algorithm
ali asghar tehrani poor Ebrahim Abbasi Hosein Didehkhani arash naderianThe purpose of this study is to design a credit portfolio optimization model in the banking industry using a meta-innovative algorithm. Risk is one of the basic concepts in financial markets that has a certain complexity. Due to the lack of a clear picture of risk reali MoreThe purpose of this study is to design a credit portfolio optimization model in the banking industry using a meta-innovative algorithm. Risk is one of the basic concepts in financial markets that has a certain complexity. Due to the lack of a clear picture of risk realization, financial markets need risk control and management approaches. The present study is a descriptive survey in terms of data collection and applied in terms of purpose. The statistical population of this research includes all facility files of the last 10 years as well as the financial statements of Ansar Bank branches affiliated to Sepah Bank, which were selected by census method. The risk criteria used in the models are: fuzzy risk value, absolute value of fuzzy downward deviations and half entropy. Research models were implemented using multi-objective particle swarm optimization algorithm. The software used in conducting research is MATLAB software. The results show that the performance of the fuzzy risk-averaged model is better than the other two models in evaluating optimal portfolios. Therefore, the use of the above model in credit basket optimization is recommended. Manuscript profile -
Open Access Article
224 - Portfolio optimization in capital market bubble space, application of bee colony algorithm
Iman Mohammadi Hamzeh Mohammadi Khashoei arezoo aghaei chadeganiThe existence of bubbles in the market,especially the capital market,can be a factor in preventing the participation of investors in the capital market process and the correct allocation of financial resources for the economic development of the country.On the other han MoreThe existence of bubbles in the market,especially the capital market,can be a factor in preventing the participation of investors in the capital market process and the correct allocation of financial resources for the economic development of the country.On the other hand,due to the goal of investors in achieving a high return portfolio with the least amount of risk,it is necessary to pay more attention to these markets In this study,in order to maximize returns and minimize investment risk,an attempt was made to create an optimal portfolio in conditions where the capital market has a price bubble.According to the purpose,the research is of applied type,and in terms of data,quantitative and post-event,and in terms of analysis,is descriptive-correlation.In order to identify bubble months in the period from2015to2019in Tehran Stock Exchange,sequence tests and skewness and kurtosis tests were used and after identifying bubble periods,artificial bee colony algorithm was used to optimize the portfolio.The results indicate the identification of 10 periods with a price bubble in the study period.Also,in portfolio optimization, selected stock portfolios are formed with maximum returns and minimum risk.This research will be a guide for investors in identifying bubble courses and how to form an optimal portfolio in these conditions. Manuscript profile -
Open Access Article
225 - Two stage combination model for portfolio optimization via smart BETA strategies.
mohammad sharafi Nowrouz Nourollahzadeh fatemeh sarrafThe issue of stock portfolio selection has always been one of the most attractive and practical issues in financial markets. The present article introduces a two-stage model for stock portfolio optimization by using a combination of the six smart beta strategies founded MoreThe issue of stock portfolio selection has always been one of the most attractive and practical issues in financial markets. The present article introduces a two-stage model for stock portfolio optimization by using a combination of the six smart beta strategies founded in the literature and fuzzy approach. In this article, first, the six factors of smart beta factores, for 76 pharmaceutical and steel companies active in the stock market, are calculated by using the financial information in the financial statements of 2016 and 2017 and their trading information in the period 2016 to 2017. Then, by combining the six factors of smart beta and fuzzy logic, the final weight of each share in the portfolio is determined. In order to evaluate the model, using SPSS software and Levin statistical test and based on yield information of the mentioned companies, during 2017 year, the difference between the efficiency of the proposed model and the index portfolio based on the market index was discussed. The results showed that at 95% confidence level, a higher profit can be obtained from the portfolio based on the proposed hybrid model. Manuscript profile -
Open Access Article
226 - Solving Imbalanced Data Distribution Problem in Bankruptcy Prediction by Cost-Sensitive Learning Method
seyed behrooz razavi ebrahim abbasiThis study aimed to add cost-sensitive learning technique to imbalanced data-based bankruptcy prediction models in order to reduce type I error and increase the geometric mean criterion of overall accuracy to reduce the misclassification costs of bankrupt companies for MoreThis study aimed to add cost-sensitive learning technique to imbalanced data-based bankruptcy prediction models in order to reduce type I error and increase the geometric mean criterion of overall accuracy to reduce the misclassification costs of bankrupt companies for stakeholders. For this purpose, type I error, type II error, and the geometric mean of overall accuracy of bankruptcy models based on cost-sensitive learning were compared with bankruptcy prediction models with highly imbalanced datasets. The statistical sample included 1200 year-companies since 2001- 2020, consisting of 90% healthy companies and 10% bankrupt companies. Hypotheses test results showed that adding a cost-sensitive learning technique to the bankruptcy prediction models led to a significant decrease in the type I error, a significant increase in the type II error, and a significant increase in geometric mean of accuracy of imbalanced data-based models at 95% confidence level. Also, with the increase in the misclassification cost of bankrupt companies, type I error had a downward trend and the II type error had an upward trend, and the geometric mean of accuracy had an upward trend. Manuscript profile -
Open Access Article
227 - Smart operating system based on technical parameters optimized with firefly algorithm
Fatemeh Asiaei Taheri Gholamreza zomorodian Mirfeiz FallahshamsThe main goal of investors in the stock market is to get the highest return at the desired time, therefore introducing the most suitable method for conducting transactions is of special importance for investors. Successful trading in financial markets should be done clo MoreThe main goal of investors in the stock market is to get the highest return at the desired time, therefore introducing the most suitable method for conducting transactions is of special importance for investors. Successful trading in financial markets should be done close to key reversal points. In recent years, various systems have been developed to identify these return points. Technical analysis tries to identify the time to enter and exit trades.In this article, we are trying to select the one with a higher success rate by using the technical rules according to the previous researches, and by using soft calculations, the decision parameters in the technical rules are improved using the firefly algorithm.The results of this model are compared with the results of using the standard parameters of the indicators and the results of the purchase and maintenance strategy. In order to validate the introduced trading system, we compared it with the results of the optimized intelligent system based on optics and genetic algorithm. The results of the research show that by optimizing the parameters of technical analysis indicators, the investment efficiency can be increased compared to the usual methods in the stock market and previous researches. Manuscript profile -
Open Access Article
228 - Multiperiod portfolio selection with higher-order moment
reza tehrani saeed Fallahpour Mohammad reza Rostami mehdi biglari kamirisk & return are two main factors that affect financial decisions. The trade off between risk & return create different investment strategies. In other words investment decisions are all based on risk & return. In this research we used multiperiod selection Morerisk & return are two main factors that affect financial decisions. The trade off between risk & return create different investment strategies. In other words investment decisions are all based on risk & return. In this research we used multiperiod selection method in order to maximize investors utility. In this model we used not only variance but also higher order moment –skewness- for optimization. For emprical test of the model we used return of first 50 companies stored by market capitalization in tehran stock exchange during 1386-1395. We used skewness & transaction cost to introduce a moltipriod model in asset allocation to minimize variance of investors utility. Comparing the result of this model with markowitz model & simpel model considering investor preferences shows that based on performance evaluation criteria, the suggested model perform much better than the two other. Manuscript profile -
Open Access Article
229 - Portfolio optimization with Fraction of Expectation to Risk of future financial strength based on Eigen Vector of Pairwise Comparisons Matrix
Keikhosro Yakideh Gholamreza Mahfoozi Mahshid GoodarziThe aim of this study is to propose a new method for portfolio optimization based on financial ratios. In this method, cross efficiency scores are produced from financial ratios, using Data Envelopment Analysis. Mathematical interpretation of these cross efficiency scor MoreThe aim of this study is to propose a new method for portfolio optimization based on financial ratios. In this method, cross efficiency scores are produced from financial ratios, using Data Envelopment Analysis. Mathematical interpretation of these cross efficiency scores that allocates several score to each company is efficiency of company in probably future situations. Efficiency scores calculated based on proper financial ratios can be considered as financial strength. Thus cross efficiency scores produced from financial ratios, can be considered as potential financial strength. As future is not clear, potential financial strength can be presented in expectation and risk indices that are mean and variance of cross efficiencies. Fraction of expectation to risk for potential financial strengths can be used as a criterion for pairwise comparison of companies. Eigenvector associated with the biggest eigenvalue of pairwise comparison matrix reflects relative importance weights of companies. This paper proposes relative importance weights of companies as a basis for portfolio optimization. Based on sharp index Performance of proposed method is acceptable and better than marker portfolio and portfolio of one similar method. Manuscript profile -
Open Access Article
230 - بررسی کارایی بهینه سازی پرتفوی براساس مدل پایدار با بهینه سازی کلاسیک در پیش بینی ریسک و بازده پرتفوی
فریدون رهنمای رودپشتی هاشم نیکومرام عباس طلوعی اشلقی فرهاد حسین زاده لطفی مرضیه بیات -
Open Access Article
231 - Stock Portfolio optimization: Effectiveness of particle swarm optimization and Markowitz model
Ali Bayat lida asadiThe purpose of the portfolio management is the portfolio selection, the portfolio that acts as guidance to investors in order to achieve to maximum efficiency. In this study for portfolio selection, particle swarm optimization and Markowitz model are used and a comparis MoreThe purpose of the portfolio management is the portfolio selection, the portfolio that acts as guidance to investors in order to achieve to maximum efficiency. In this study for portfolio selection, particle swarm optimization and Markowitz model are used and a comparison was made between them. Introducing the model to select a portfolio for investors who can make the right choice with evaluation of that model is of our objectives in this study. For this purpose, literature and various studies are verified and a set of measures with regard to the purpose of the research was collected. Among the companies listed on the Tehran Stock Exchange, 65 companies were selected as sample for the period 2009 to 2013 and were analyzed as a statistical sample. To analyze the data, first the data is collected and categorized in software EXCEL and after doing calculations were analyzed using MATLAB software.TThe results of this research showed that the particle swarm optimization has a fewer errors in the selection of optimal portfolio compared with Markowitz model. The most important suggestion for future research is to compare the particle swarm optimization with other models of optimization such as, colonial competition, meta-heuristic, arbitrage model and etc. Manuscript profile -
Open Access Article
232 - کاربرد روش بهینه سازی الگوریتم ژنتیک در طراحی بهینه مسیر انتقال و توزیع کالاهای تولیدی واحدهای صنعتی به منظور مدیریت زمان و هزینه
حسین بدیعی علی میراخورلی -
Open Access Article
233 - مدل برنامهریزی خطی فازی برای ﻣﺴﺌﻠﻪ اﻧﺘﺨﺎب ﺳﺒﺪ ﺳﻬﺎم بهینه
مقصود امیری مهسا محبوب قدسی -
Open Access Article
234 - Portfolio Optimization Using the Whale Algorithm with Expected Shortfall as the Measure of Risk
saeed fallahpour sepehr asefi sima fallahtafti MohammadReza BagherikazemabadPortfolio Selection is one of the most important decisions that institutional investors have to face. Markowitz was the first to introduce risk into the portfolio selection decision by introducing the Mean-Variance Model. This created one of the most importa MorePortfolio Selection is one of the most important decisions that institutional investors have to face. Markowitz was the first to introduce risk into the portfolio selection decision by introducing the Mean-Variance Model. This created one of the most important fields in finance, that is Portfolio Optimization and finding the efficient frontier. In the next researches, adding real world constraints to the model broadened this field. With increasing the number of assets or the constraints, Portfolio Optimization becomes an NP-hard problem which is impossible to solve with derivative-based methods, therefore, numerical and metaheuristic methods should be used for solving it. The aim of this research is optimizing portfolio using Whale optimization algorithm. This metaheuristic algorithm is inspired by the behavior of Whales and was introduced in 2016. This research implements the algorithm in the top 50 index in Tehran Stock Exchange and tries to find the efficient portfolio in this index. We also compare the performance of this method to two other metaheuristic algorithms and explain the advantages of the proposed method in portfolio optimization. Manuscript profile -
Open Access Article
235 - Portfolio optimization in an upside potential and downside risk (UPM-LPM) framework
ali saleh abadi Mohsen Sayar Mojtaba ShahryariIn the process of evolving portfolio theory, In order to eliminate the defects and basic assumptions limitation of the traditional model, the concept of downside risk and the Mean-LPM model has been introduced. The Lower Partial Moment (LPM) has been the downside risk MoreIn the process of evolving portfolio theory, In order to eliminate the defects and basic assumptions limitation of the traditional model, the concept of downside risk and the Mean-LPM model has been introduced. The Lower Partial Moment (LPM) has been the downside risk measure that is most commonly used in portfolio analysis. Its major disadvantage is that its underlying utility functions are linear above some target return. As a result, the upper partial moment (UPM)/lower partial moment (LPM) analysis has been suggested in the recent researches. The UPM-LPM framework is powerful because it implements the full richness of economic utility theory such as Morgenstern economic utility function and prospect theory. In this study, using by stock market Sector indexes over 3 years period since 2010 to 2012, the mean-variance and UPM/LPM optimal portfolio has been calculated in different degrees of potential and risk aversion. In the next step, the optimal portfolio performance of both model has been measured over second period from 2013 to 2015. This research used MATLAB software for optimizing and analyzing of portfolio selection models. The Jobson-Korkie test has been used to measure the portfolio performance difference between Mean-Variance and UPM-LPM model. It was found that there is significant difference between results of Sharp ratio in Markowitz portfolio and UPM-LPM portfolio, and in the different risk/potential aversion approaches the UPM-LPM portfolio are significantly better than the traditional Markowitz model Manuscript profile -
Open Access Article
236 - Developing a Fuzzy Multibjective Model for Multiperiod Portfolio Optimazation Considering Average Value at Risk
Amir Shiri Ghehi Hosein Didehkhani kaveh Khalili Damghani parviz SaeediThe purpose of the present research is to provide a multi-period portfolio optimization model in a fuzzy credibility environment, aimed for end-of-period wealth maximization and risk minimization. The investor’s risk was measured using the Average Value at Risk (A MoreThe purpose of the present research is to provide a multi-period portfolio optimization model in a fuzzy credibility environment, aimed for end-of-period wealth maximization and risk minimization. The investor’s risk was measured using the Average Value at Risk (AVaR) as a coherent risk measure. The model is designed in such a way that, in addition to considering transaction costs, the investor will have the opportunity to allocate part of his wealth to a risk-free asset. In designing the model, in addition to the cardinality constraints, constraints such as the minimum “proportion entropy” (as the portfolio of diversification degree) and the expected returns of the portfolio in each period are considered. The results of the model running by MOPSO algorithm indicated that the model objectives in the optimum portfolios were better suited than those when the model was run with random weights. The results also indicated that an increase in the portfolio diversification degree reduced the amount of the final wealth. Manuscript profile -
Open Access Article
237 - The Application of Robust Optimization and Goal Programming in Multi Period Portfolio Selection Problem
Saghar Homaeifar Emad RoghanianPortfolio selection is one of the most important area in financial world. Investors always want to make the best decisions which are compatible with conditions of real world. In the real world, data are usually under uncertainty. On the other hand, the most of strategie MorePortfolio selection is one of the most important area in financial world. Investors always want to make the best decisions which are compatible with conditions of real world. In the real world, data are usually under uncertainty. On the other hand, the most of strategies for portfolio selection are multi-period. Therefore, investors should rebalance their portfolios during investment horizon. In this research we present a multi-period portfolio optimization model which considers transaction costs and deal with uncertainty by application of robust programming. This model is a mean-CVaR multi objective model that is solved by goal programming. Furthermore, most of previous researches have used regression or time series models to forecast future returns of stocks for solving numerical examples, however, in this paper we forecast future returns by using Artificial Neural Networks (ANNs). Finally, solutions of robust model are compared with results of nominal one. These results show that consideration of data uncertainty and other real assumptions lead to more practical solutions. Manuscript profile -
Open Access Article
238 - Portfolio Optimization Using Chance Constrained Compromise Programming
mojtaba nouri Emran MohammadiOne of the key issues for investors is the issue of creating an optimal stock portfolio. In the issue of choosing an portfolio, the decision maker faces different and sometimes conflicting goals such as rate of return, liquidity, dividend, and risk. In portfolio optimiz MoreOne of the key issues for investors is the issue of creating an optimal stock portfolio. In the issue of choosing an portfolio, the decision maker faces different and sometimes conflicting goals such as rate of return, liquidity, dividend, and risk. In portfolio optimization, the main issue is the optimal choice of assets and securities that can be made with a certain amount of capital, but on the one hand, the uncertainties associated with each share, and, on the other hand, the multiplicity of the optimal portfolio selection model, on the complexity of the problem increases. In this paper, the portfolio optimization under uncertainty has been studied. A randomized approach to converting uncertainty into a state of definiteness and agreeing to plan for a single objective is used in combination. Information about 20 pharmaceutical companies from the Tehran Stock Exchange has been used and the validity of the model has been investigated. The results show that the stock portfolio offered has a high performance. Manuscript profile -
Open Access Article
239 - Foster-Hart Optimal Portfolio
sepehr asefi reza eivazlu reza tehraniThis essay is going to optimize the portfolio of stocks similar to the Markowitz approach. Nonetheless, the way in which the risk is measured is Foster-Hart risk. This measure was proposed by Foster and Hart in 2009. It takes into account the extreme events of losses. T MoreThis essay is going to optimize the portfolio of stocks similar to the Markowitz approach. Nonetheless, the way in which the risk is measured is Foster-Hart risk. This measure was proposed by Foster and Hart in 2009. It takes into account the extreme events of losses. The theoretical definition could be as a minimum wealth that an investor should have in order not to face with bankruptcy. Our sample consists of adjusted daily data from thirty-four companies chosen from Tehran Stock Exchange’s Top 50 Index in the period between 1391/07/01 and 1396/06/31. Data has been collected from Rahavard Novin software which is widely used in finance studies in Iran. Different optimal portfolios has been achieved in this essay. Each of which uses a different method of risk like Cvar and Semi-Variance besides Foster-Hart. Results of this essay show that Foster-Hart optimal portfolio could have higher sharp ratio in comparison with the others. Manuscript profile -
Open Access Article
240 - Presenting a fuzzy multi objective model for portfolio selection based on value at risk, semi-skewness and fuzzy credibility theory
Hosein Didehkhani Saeid HojjatiastaniIn finance, optimal portfolio selection, play's a crucial role for investor’s decisions. In practical cases the problem of optimal portfolio selection has some challenges. In a cases stocks are affected by various uncertain factors therefore, it is impossible to s MoreIn finance, optimal portfolio selection, play's a crucial role for investor’s decisions. In practical cases the problem of optimal portfolio selection has some challenges. In a cases stocks are affected by various uncertain factors therefore, it is impossible to simulate all of them properly. In this study, previous investigation about select and optimization of portfolio has been illustrated. For this purpose, credibility theory for calculating statistics moments such as Expected value, semi-skewness have been used. Also, the value at risk and Uncertainty is used for modeling in fuzzy Environment. For solving the model Matlab software run for solving Non-dominated sorting genetic algorithm "NSGA-II". And as result some of optimal pareto-front solutions have been obtained which were listed as optimal solution. To conclude Random portfolios has been created in order to compare with defined portfolios .the result indicate , defined models has more level of Satisfactory goals rather than Random portfolios. Manuscript profile -
Open Access Article
241 - Misevaluation and Behavioral Biases in the Tehran stock exchange
Jamal Tavosi Jamal Tavosi Aminreza KamalianAccording to efficiency market hypothesis security prices respond quickly to new information and accurately reflect their fundamental values. More recent work indicates that market frictions and the psychological limitations of traders can cause asset prices to deviate MoreAccording to efficiency market hypothesis security prices respond quickly to new information and accurately reflect their fundamental values. More recent work indicates that market frictions and the psychological limitations of traders can cause asset prices to deviate from their fundamental values for a considerable length of time. To investigate theoretical concepts, the composite error model and event study approach and for specification model Particular Swarm Optimization were used in this study. The results from Coelli one-sided likelihood ratio test in the event period shows that there are the biases in IKCO’s returns. This study develops an empirical method that tests for and estimates the degree of valuation bias. Being better able to detect valuation bias reveals profit opportunities and may improve the efficiency of financial markets if it sufficiently changes trader behavior. Manuscript profile -
Open Access Article
242 - Study of portfolio optimization based on downside risk, upside potential and behavioral variables efficiency
yavar mirabbasi hashem nikoumaram ali Saeidi Farideh HaghshenasWhile available models to measure the risk don’t consider the positive side of stock return probability distribution, this research tries to optimize the portfolio based on adjusted lower partial momentum (ALPM) with upside potential and behavioral variables to co MoreWhile available models to measure the risk don’t consider the positive side of stock return probability distribution, this research tries to optimize the portfolio based on adjusted lower partial momentum (ALPM) with upside potential and behavioral variables to compare the result with modern portfolio theory model which is one of the basic models in this area. This research studies 144 monthly portfolios of industry indices in Tehran Stock Exchange within 12 years and compute realized rate of return for those portfolios in next month. In the next stage the research make use of variance analysis between realized rates of return for portfolios made by two models. The present research determined that realized rate of return for portfolios made by ALPM are higher than modern portfolio theory model when investors are downside risk averse and upside potential lover. However in condition that investors are downside risk averse and upside potential averse there is not any difference between two model as well as when investors are downside risk averse and upside potential neutral. Manuscript profile -
Open Access Article
243 - Developing Meta-heuristic AntLion-Genetic and PBILDE Algorithms to Portfolio Optimization in Tehran Stock Exchange
Mahdi Homayounfar Amir Daneshvar Jafar RahmaniIn financial studies, portfolio can be defined as a set of investments that are selected and accepted by an individual or institution. Portfolio selection is one of the main concerns of investors in financial markets. The average-variance model with bound restrictions i MoreIn financial studies, portfolio can be defined as a set of investments that are selected and accepted by an individual or institution. Portfolio selection is one of the main concerns of investors in financial markets. The average-variance model with bound restrictions is considered as one of the main models in solving the portfolio optimization problem. In terms of complexity, this model is a polynomials NP-hard non-linear problem that cannot be accurately solved. In this study, an Antlion optimizer- Genetic algorithm (ALOGA) and a population based incremental learning and differential evolution algorithm (PBILDE), which are modern meta-heuristic models for solving optimization problem, are used to optimize the investment portfolio through increase the return and reduce the risk. Among 591 companies listed on Tehran stock exchange from April 2012 through March 2015, 150 companies were selected as the final sample using screening method. The data of these companies were analyzed using the applied algorithms in this research and their efficiency was compared together. The results indicate that ALOGA and PBILDE algorithms both are suitable for solving the portfolio optimization problem. In addition, using the ALOGA algorithm, it is possible to create an optimal portfolio with high accuracy and efficiency. Manuscript profile -
Open Access Article
244 - The Role of Enterprise Resource Planning Systems (ERP) in Organizational Productivity Case Study: Tabriz Tractor Manufacturing Company
batool zareieAbstract Enterprise resource planning (ERP) systems integrate all business recording and reporting processes into one single management information system. ERP systems require a great degree of coordination and complex technological infrastructure within a firm. ERP sys MoreAbstract Enterprise resource planning (ERP) systems integrate all business recording and reporting processes into one single management information system. ERP systems require a great degree of coordination and complex technological infrastructure within a firm. ERP systems are described as computer-based information systems designed to facilitate an organization’s transactions, integrate and planning real-time, production and response to the customer. Organizations implement ERP to improve operational efficiency and effectiveness of their business. Though, some of them faile to apply it properly and acheive desirable productivity level. In this paper, the literature and ERP features reviewed using existing theoretical studies. A model and framework provided for assessing the impact of ERP systems on productivity of organization. The Cronbach’s coefficient of each variable and compiste reliability (CR) were greater than 0.8. Aslo the average variance extracted (AVE) values were greater than 0.5. The three conditions of this study were coincident with good convergent validity. Findings from the study confirmed the validity of the proposed model and acceptance of all the hypothesis. Manuscript profile -
Open Access Article
245 - Optimization of Effective Parameters in the Stir Friction Extrusion Process on Porosity and Tensile Strength of SiC Ceramic Particles Reinforced AA1050 Aluminum Matrix Composite
Mojtaba Soleimanipour Reza Abedinzadeh Seyyed Ali Eftekhari Ali HeidariThis research, involved dynamic optimization of process parameters on the porosity and tensile strength of AA1050/SiC aluminum composite wires produced by friction stir extrusion (FSE) was carried out. In this regard, SiC ceramic particles reinforced AA1050 composite sa MoreThis research, involved dynamic optimization of process parameters on the porosity and tensile strength of AA1050/SiC aluminum composite wires produced by friction stir extrusion (FSE) was carried out. In this regard, SiC ceramic particles reinforced AA1050 composite samples were produced using the FSE process. Also, response surface methodology (RSM) was used to design of experiment. The rotational speed of the punch, extrusion force, and reinforcement percentage weight were determined as input variables of the process. The porosity and tensile strength of produced composite samples were determined as response variables. Analysis of variance (ANOVA) and regression analysis were used to analyze the obtained data. The results showed that rotational speed, extrusion force with second-order effects, and reinforcement percentage with linear effects were effective on the tensile strength and porosity of composite samples. Also, the optimization of FSE process parameters to reach the minimum percentage of porosity and maximum tensile strength was performed using the desirability method. Finally, the optimization results were evaluated based on the validation test. Also, by achieving the maximum value of the desirability function (0.9852), the optimal conditions of process input variables were a rotational speed of 787 rpm, an extrusion force of 11.7 kN, and a reinforcement percentage of 3.86% to simultaneously achieve the maximum ultimate tensile strength (155.4 MPa) and minimum porosity percentage (0.45%). Also, the values obtained from the optimization were compared with the experimental values and the accuracy of the results in tensile strength and porosity were confirmed with 2.57% and 6.78% errors, respectively. Manuscript profile -
Open Access Article
246 - ساخت یک سیستم انتقال نور کاربردی با هدف تامین روشنایی یک اتاق با مصرف انرژی صفر
جواد اشکبوس اصفهانی شاهرخ شجاعیاناز جمله کاربردهای فیبر نوری که در اواخر قرن بیستم بعنوان یک فناوری روشنایی متداول شده کاربرد آن در سیستمهای روشنایی می باشد. در این مقاله، در راستای همین کاربرد، کاهش انرژی مصرفی بکمک انتقال نور خورشید از بام ساختمان تا یک محل مورد نظر با رعایت استانداردهای مربوطه بررس Moreاز جمله کاربردهای فیبر نوری که در اواخر قرن بیستم بعنوان یک فناوری روشنایی متداول شده کاربرد آن در سیستمهای روشنایی می باشد. در این مقاله، در راستای همین کاربرد، کاهش انرژی مصرفی بکمک انتقال نور خورشید از بام ساختمان تا یک محل مورد نظر با رعایت استانداردهای مربوطه بررسی شده و طرحی اجرایی برای آن پیاده سازی شده است. اهداف مقاله صرفه جویی در مصرف انرژی، انطباق روشنایی محیط با نیازهای روحی و روانی انسان و محیط زیست، بستر سازی جهت تولید انبوه و ایجاد زمینه های درآمدی آتی برای دانشگاه میباشد.در مقاله حاضر علاوه بر نحوه ی متمرکز کردن نور برای ایجاد چگالی بیشتر، تحقیقاتی هم در مورد نحوه انتقال نور توسط فیبر نوری انجام شد و از آنجا که در این مورد مدل ریاضی لازم هنوز تدوین نشده از آزمایش های عملی و تحلیل آماری نتایج در این تحقیق استفاده گردید. با استفاده از چندین عدسی و چند مدل فیبر نوری و یک دستگاه کنترل موقعیت که بطور خاص برای این مقاله ساخته شده بود، آزمایشهای متعددی انجام شد و مقادیر شدت روشنایی حاصله توسط لوکس متر اندازه گیری گردید و پس از آن نتایج توسط نرم افزار آماری 17 SPSS V. تحلیل گردید. در انتها براساس نتایج اخیر بهترین نوع عدسی و فیبر به همراه روش سرراستی برای طراحی روشنایی یک اتاق نوعی با این روش ارائه گردید. Manuscript profile -
Open Access Article
247 - آنالیز حساسیت سیستم انتقال قدرت پیوسته تمام چنبره ای
مجتبی دلخوش محمود سعادت فومنیدر این تحقیق، هدف بهینه­سازی و آنالیز حساسیت سیستم انتقال قدرت پیوسته (CVT) تمام چنبره است. برای این منظور ابتدا این سیستم تحلیل دینامیکی می­شود. سپس تماس بین دیسک و غلتک براساس اصول روانکاری الاستوهیدرودینامیک مدل شده و یک مدل­سازی کامپیوتری برای تعیین ضرای Moreدر این تحقیق، هدف بهینه­سازی و آنالیز حساسیت سیستم انتقال قدرت پیوسته (CVT) تمام چنبره است. برای این منظور ابتدا این سیستم تحلیل دینامیکی می­شود. سپس تماس بین دیسک و غلتک براساس اصول روانکاری الاستوهیدرودینامیک مدل شده و یک مدل­سازی کامپیوتری برای تعیین ضرایب انتقال گشتاور، افت اسپین و بازده سیستم انتقال قدرت تهیه می­شود. برای اطمینان از درستی مدل، خروجی­های آن با خروجی مدل­های استفاده شده در دیگر مقالات مقایسه شده و درستی مدل تایید می­شود. سپس به ازای یک سری شرایط برای CVT تمام چنبره، بهینه­سازی هندسی و سینماتیکی به کمک الگوریتم ژنتیک انجام شده و حداکثر بازده انتقال توان 15/88% به دست آمد. در نهایت حساسیت تابع بازده انتقال توان نسبت به پارامترهای بهینه­سازی حول نقطه بهینه­شان، محاسبه شده و مشخص شد که این تابع، بیشترین حساسیت را نسبت به ضریب بی­بعدk و شعاع انحنای غلتک دارد Manuscript profile -
Open Access Article
248 - بررسی پارامترهای موثر بر روش اکستروژن در کانال های هم مقطع زاویه دار و انتخاب سطح بهینه با استفاده از روش طراحی آزمایش تاگوچی برای ماده تیتانیوم
حسن خادمی زاده علی افتخاری حسام الدین ابطحی فروشانیدر تحقیق حاضر به بررسی پارامترهای موثر بر روش اکستروژن در کانال های هم مقطع زاویه دار بر روی فلزتیتانیوم پرداخته شده است. ابتدا با شناخت پارامترهای موثر بر این روش، پارامترهای اصلی و عملی انتخاب و پس از آن برای بدست آوردن سطح بهینه این روش برای فلز تیتانیوم اقدام Moreدر تحقیق حاضر به بررسی پارامترهای موثر بر روش اکستروژن در کانال های هم مقطع زاویه دار بر روی فلزتیتانیوم پرداخته شده است. ابتدا با شناخت پارامترهای موثر بر این روش، پارامترهای اصلی و عملی انتخاب و پس از آن برای بدست آوردن سطح بهینه این روش برای فلز تیتانیوم اقدام به طراحی جداول آزمایش به روش طراحی آزمایش تاگوچی شد. پس از طراحی جدول آزمایش کلیه آزمایشات به روش المان محدود و با استفاده از نرم افزار آباکوس اجرا و نتایج بدست آمد و نتایج بدست آمده به روش مذکور بهینه گردید. نتایج بدست آمده نشان داد که بهینه ترین سطح آزمایش برایECAPفلز تیتانیوم در بین آزمایشات انجام شده استفاده از قالب با زاویه کانال 120 درجه، دمای محیط، 2 پاس و مسیر تکرار است. Manuscript profile -
Open Access Article
249 - بهینه سازی تغییرات ریزساختاری و خواص مکانیکی آلیاژ آلومینیم A360 تولید شده به روش ریخته گری نیمه جامد
امین کلاه دوز محسن لوح موسویریخته­گری نیمه­جامدها، فرآیندی نوین می­باشد که می­تواند قطعاتی با ساختار یکنواخت کروی و با خواص مکانیکی بهبود یافته را تولید نمود. در این مقاله از روش مذاب­ریزی بر روی سطح شیب­دار برای تولید آلیاژ آلومینیم A360 استفاده شده است. با جریان یافتن مذا Moreریخته­گری نیمه­جامدها، فرآیندی نوین می­باشد که می­تواند قطعاتی با ساختار یکنواخت کروی و با خواص مکانیکی بهبود یافته را تولید نمود. در این مقاله از روش مذاب­ریزی بر روی سطح شیب­دار برای تولید آلیاژ آلومینیم A360 استفاده شده است. با جریان یافتن مذاب بر روی این سطح و اعمال تنش، فاز اولیه شاخه­ای در این آلیاژ به یک فاز غیرشاخه­ای تبدیل می­گردد. در این تحقیق تاثیر پارامترهایی از قبیل طول و زاویه سطح، دمای قالب و دمای بارریزی به عنوان متغیرهای فرآیند در نظر گرفته شده و مقادیر سختی و استحکام آلیاژ بر اساس تغییرات در پارامتر اندازه دانه مورد محاسبه قرار می­گیرد. در مرحله بعد، رابطه بین ورودی و خروجی­های فرآیند با استفاده از شبکه عصبی به دست می­آید. در نهایت رابطه به دست آمده با استفاده از الگوریتم ژنتیک بهینه می­شود. نتایج نشان می­دهد که با تغییر در دمای بارریزی و دمای قالب، سختی نمونه­ها نیز تغییر می­کند. به طوریکه با تغییر دمای بارریزی میزان 12% افزایش و با تغییر دمای قالب به میزان 5%، سختی افزایش می­یابد. همچنین طول و زاویه سطح شیب­دار نیز به ترتیب تاثیر 12% و 9% در مقدار افزایش سختی و 13% و 6% در میزان افزایش استحکام دارد. Manuscript profile -
Open Access Article
250 - ساخت یک سیستم انتقال نور کاربردی با هدف تامین روشنایی یک اتاق با مصرف انرژی صفر
جواد اشکبوس اصفهانی شاهرخ شجاعیاناز جمله کاربردهای فیبر نوری که در اواخر قرن بیستم بعنوان یک فناوری روشنایی متداول شده کاربرد آن در سیستمهای روشنایی می باشد. در این مقاله، در راستای همین کاربرد، کاهش انرژی مصرفی بکمک انتقال نور خورشید از بام ساختمان تا یک محل مورد نظر با رعایت استانداردهای مربوطه بررس Moreاز جمله کاربردهای فیبر نوری که در اواخر قرن بیستم بعنوان یک فناوری روشنایی متداول شده کاربرد آن در سیستمهای روشنایی می باشد. در این مقاله، در راستای همین کاربرد، کاهش انرژی مصرفی بکمک انتقال نور خورشید از بام ساختمان تا یک محل مورد نظر با رعایت استانداردهای مربوطه بررسی شده و طرحی اجرایی برای آن پیاده سازی شده است. اهداف اصلی مقاله عبارتند از: 1- صرفه جویی در مصرف انرژی 2- انطباق روشنایی محیط با نیازهای روحی و روانی انسان و محیط زیست 3- بستر سازی جهت تولید انبوه و ایجاد زمینه های درآمدی آتی برای دانشگاه در مقاله حاضر علاوه بر نحوه ی متمرکز کردن نور برای ایجاد چگالی بیشتر، تحقیقاتی هم در مورد نحوه انتقال نور توسط فیبر نوری انجام شد و از آنجا که در این مورد مدل ریاضی لازم هنوز تدوین نشده از آزمایش های عملی و تحلیل آماری نتایج در این تحقیق استفاده گردید. با استفاده از چندین عدسی و چند مدل فیبر نوری و یک دستگاه کنترل موقعیت (که بطور خاص برای این مقاله ساخته شده بود)، آزمایشهای متعددی انجام شد و مقادیر شدت روشنایی حاصله توسط لوکس متر اندازه گیری گردید و پس از آن نتایج توسط نرم افزار آماری 17 SPSS V. تحلیل گردید. در انتها براساس نتایج اخیر بهترین نوع عدسی و فیبر به همراه روش سرراستی برای طراحی روشنایی یک اتاق نوعی با این روش ارائه گردید. Manuscript profile -
Open Access Article
251 - Optimizing the cultivation pattern of important crops in Miandoab plain
معراج Fallahi سعید Soofizade علی اکبر BaghestaniChoosing the optimal cultivation model that is both environmentally sustainable and suitable for specific climatic conditions in each geographical region can be considered as one of the efficient solutions to solve the challenges and increase the profitability of agricu MoreChoosing the optimal cultivation model that is both environmentally sustainable and suitable for specific climatic conditions in each geographical region can be considered as one of the efficient solutions to solve the challenges and increase the profitability of agricultural activities.For this purpose, in this study, an attempt has been made to design the optimal pattern of crop cultivation in Miandoab plain, which is the fourth most important plain of the country, located in West Azarbaijan province.Optimizing the cultivation pattern was done in the form of two separate goals of maximizing profit and minimizing water consumption.For this purpose, the required data for the three years 2016-2018 were collected from various provincial and national institutions, and the average data of the mentioned three years were used to propose the optimal pattern of crop cultivation in the form of each of the mentioned goals.In this research, 12 important crops cultivated in this plain have been used.The results showed that the two crops of rainfed chickpeas and nut sunflowers, with the cultivation of the entire agricultural lands of the plain with approximately 57 thousand hectares and 5500 hectares, respectively, and a gross profit of 1614 billion rials, were introduced as the optimal model proposed with the aim of maximizing the gross profit.became.In the proposed cultivation model with the aim of minimizing water consumption, the re-cultivation of rainfed chickpeas and nut sunflowers on an area equal to 57.600 hectares and 5300 hectares will result in the optimization of water consumption.In other words, two goals of profit maximization and water consumption minimization will be achieved by sub-cultivating dry peas and sunflower seeds. Manuscript profile -
Open Access Article
252 - Comparison optimization Computational model between Cellular Automata and Genetic programming in dynamic response of guyed tower under vibration force
kaveh kumarciIn the telecommunication industry, guyed towers are one of the important structural subsystems. They support a variety of antenna systems at great heights to transmit radio, television and telephone signals over long distance, thus preserving them in events of natural d MoreIn the telecommunication industry, guyed towers are one of the important structural subsystems. They support a variety of antenna systems at great heights to transmit radio, television and telephone signals over long distance, thus preserving them in events of natural disasters such as earthquake is of high priority. Also, domes and transmission stations functions depend on transmitted information by guyed towers. In this paper, seismic behavior of guyed towers are studied. For that, one guyed tower in 9 clusters of guys is studied under earthquake force. This research was accomplished on the base of wind and earthquake forces and tower interaction to these forces. Here, the effect of earthquake force and tower response to seismic events are studied. At first, time history analysis is used in determination of towers vibration natural modes, then, under time- acceleration components of El-Centro earthquake, spectral analysis are accomplished. Analysis outputs are two parameters including frequency and maximum lateral displacement which are provided using ANSYS software. The results are used in comparing two different calculation models: genetic programming and cellular automata. Manuscript profile -
Open Access Article
253 - Seismic Optimization of Steel Moment Resisting Frame Using Uniform Deformation Algorithm
Amir hassan Alizadeh Mehdi Rahimi AslThe overall aim of conducting this research is to optimize the medium steel bending frame in the level of life safety risk according to FEMA 350. For this purpose, two 3- and 5- story steel structures have been considered. These structures were designed according to AIS MoreThe overall aim of conducting this research is to optimize the medium steel bending frame in the level of life safety risk according to FEMA 350. For this purpose, two 3- and 5- story steel structures have been considered. These structures were designed according to AISC regulations and then subjected to seismic optimization using uniform deformation algorithm. The method of uniform deformations, which is one of the fast methods in optimization based on performance criteria, has been used for optimization so that the dispersion of plastic rotations created in the structural components reaches the lowest value and convinces the permissible plastic rotations at the level of life safety risk based on FEMA regulations. Opensees open-source software based on nonlinear time history method was used for modeling. The aim of optimization is to achieve appropriate performance at the risk level and performance level simultaneously. Also, the improved structure has been subjected to earthquake records with different intensities and its performance has been examined. The results indicate that in the process of using this algorithm, convergence is well-established and the use of the objective function of plastic rotations is considered one of the most suitable methods in the optimization of steel structures. Changes in the distribution of materials from structural components have been made mainly from the upper stories towards the lower stories and from the side members to the inner members of the frame. Also, the optimization in the level of life safety performance reduces the weight of both structures and leads to a reduction in their weight between 9 and 20 percent. Manuscript profile -
Open Access Article
254 - Mathematical modeling and simulation of improving the flow of transportation of petrochemical products in a green supply chain
Hamidreza Mahmoudi Morteza Bazrafshan Mohadeseh AhmadipourIn this research, a framework for optimizing the oil condensate supply chain is modeled using mathematical programming to design and make strategic and tactical decisions. Based on this framework, investment and operating costs and greenhouse gas emissions for oil and g MoreIn this research, a framework for optimizing the oil condensate supply chain is modeled using mathematical programming to design and make strategic and tactical decisions. Based on this framework, investment and operating costs and greenhouse gas emissions for oil and gas transmission lines can be minimized to meet pressure and transmission network needs. We can also minimize the production of pollutants in the related parts of the chain. By applying a real case study, all possible decisions are taken into account to consider the environmental aspects of the supply chain. Therefore, the structure and decisions of the supply chain are generally based on two objective functions, including the reduction of transportation and maintenance costs and pollution in treatment plants and distribution centers. The proposed model is reliable with good accuracy compared to simulation modeling and NSGA-II meta-heuristic algorithm and can estimate the objectives well. Using the proposed model reduces costs by 31% and greenhouse gas emissions by 51%. There will also be an 8% increase in the capacity of fields and refineries and a 65% increase in exports. Using the results obtained from solving the model, it is possible to determine the share of each oil product in the total price and each part of the chain in the production of greenhouse gases. Manuscript profile
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