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List of Articles
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Open Access Article
1 - A Recurrent Neural Network Model for solving CCR Model in Data Envelopment Analysis
معصومه عباسی عباس قماشیIn this paper, we present a recurrent neural network model for solving CCR Model in Data Envelopment Analysis (DEA). The proposed neural network model is derived from an unconstrained minimization problem. In the theoretical aspect, it is shown that the proposed neural MoreIn this paper, we present a recurrent neural network model for solving CCR Model in Data Envelopment Analysis (DEA). The proposed neural network model is derived from an unconstrained minimization problem. In the theoretical aspect, it is shown that the proposed neural network is stable in the sense of Lyapunov and globally convergent to the optimal solution of CCR model. The proposed model has a single-layer structure. A numerical example shows that the proposed model is effective to solve CCR model in DEA. Manuscript profile -
Open Access Article
2 - Comparative Study of Particle Swarm Optimization and Genetic Algorithm Applied for Noisy Non-Linear Optimization Problems
Hossein Towsyfyan امین کلاه دوز Hazem Esmaeel Shahed MohammadiOptimization of noisy non-linear problems plays a key role in engineering and design problems. These optimization problems can't be solved effectively by using conventional optimization methods. However, metaheuristic algorithms such as Genetic Algorithm (GA) and Partic MoreOptimization of noisy non-linear problems plays a key role in engineering and design problems. These optimization problems can't be solved effectively by using conventional optimization methods. However, metaheuristic algorithms such as Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) seem very efficient to approach in these problems and became very popular. The efficiency of these methods against many new metaheuristic optimization algorithms has been proved in previous works, however a robust comparison between GA and PSO to solve noisy nonlinear problems has not been reported yet. Therefore, in this paper GA and PSO are adapted to find optimal solutions of some noisy mathematical models. Based on the obtained results, GA shows a promising potential in terms of number of iteration to converge and solutions found so far for either for optimization of low or elevated levels of noise. Manuscript profile -
Open Access Article
3 - Optimization of solution stiff differential equations using MHAM and RSK methods
شادان صدیق بهزادیIn this paper, a nonlinear stiff differential equation is solved by using the Rosenbrock iterative method, modified homotpy analysis method and power series method. The approximate solution of this equation is calculated in the form of series which its components are co MoreIn this paper, a nonlinear stiff differential equation is solved by using the Rosenbrock iterative method, modified homotpy analysis method and power series method. The approximate solution of this equation is calculated in the form of series which its components are computed by applying a recursive relations. Some numerical examples are studied to demonstrate the accuracy of the presented methods. Manuscript profile -
Open Access Article
4 - An efficient technique for solving systems of integral equations
حمیده ابراهیمیIn this paper, the wavelet method based on the Chebyshev polynomials of the second kind is introduced and used to solve systems of integral equations. Operational matrices of integration, product, and derivative are obtained for the second kind Chebyshev wavelets which MoreIn this paper, the wavelet method based on the Chebyshev polynomials of the second kind is introduced and used to solve systems of integral equations. Operational matrices of integration, product, and derivative are obtained for the second kind Chebyshev wavelets which will be used to convert the system of integral equations into a system of algebraic equations. Also, the error is analyzed and at the end, some examples are presented to demonstrate the efficiency and the validity of the proposed method. Manuscript profile -
Open Access Article
5 - Supplier selection in the sustainable supply chain: The application of analytic hierarchy process and fuzzy data envelopment analysis
حمیدرضا رضایی محمد طالقانی محسن شفیعیان تارا نیک اندامThe development and management of an effective and efficient supply chain involve the selection of the suppliers. Only economic criteria, including cost and delivery, once used to be considered in the process of supplier selection. But, they do not suffice for the evalu MoreThe development and management of an effective and efficient supply chain involve the selection of the suppliers. Only economic criteria, including cost and delivery, once used to be considered in the process of supplier selection. But, they do not suffice for the evaluation of suppliers anymore due to the rapidly changing environment, and different perspectives are needed to be considered. The present paper aims to present a hybrid method based on fuzzy data envelopment analysis for sustainable supplier selection. At first, the criteria for sustainable supplier selection are derived from the relevant literature. Then, the hierarchy of the criteria and their preferential interrelations are specified by analytic hierarchy process. Eventually, the performance of the suppliers is evaluated using fuzzy data envelopment analysis. The presented DEA model has been inspired by the concept of ideal and anti-ideal decision-making units (DMUs) in the evaluation of cross-efficiency. According to this concept, a DMU is efficient if it is close to the ideal DMU’s performance and far from the anti-ideal DMU’s performance. Manuscript profile -
Open Access Article
6 - Forecast of climatologically events using improved grey model (Case Study: Qazvin Province Climatology)
مریم کریمی خواجه قیاسی علیرضا علینژادThe theory of grey system is used when sufficient information of the community under study is not in hand. The grey forecast model is proper when the information variety is fix and certain. Grey model can apply some additional computations to improve forecasting activit MoreThe theory of grey system is used when sufficient information of the community under study is not in hand. The grey forecast model is proper when the information variety is fix and certain. Grey model can apply some additional computations to improve forecasting activities when data is insufficient. Through using improved grey model, the assessment error decreases significantly. This study made use of the mean maximum daily temperature data collected by Qazvin meteorological station, from August 2001 to August 2013. The findings revealed that the grey model metabolism method can reduce errors and improve the precision of forecasting the mean variable of maximum daily temperature. Manuscript profile -
Open Access Article
7 - A study of Financing Decisions and Capital Structure in Real Investment
رضا آقاجان نشتایی ابراهیم چیرانی مهرداد گودرزوندچگینیIn real investment, there is a relationship between external financing and abnormal stock returns. This study predicts a negative correlation between external financing and stock returns. The dependent variable of the research is stock returns and the independent variab MoreIn real investment, there is a relationship between external financing and abnormal stock returns. This study predicts a negative correlation between external financing and stock returns. The dependent variable of the research is stock returns and the independent variables are net financing and equity ratio. Also, control variables of the research includes assets growth, company’s size and company’s age. In this research, the hypotheses have been tested using the financial statements of 178 industrial companies accepted in Tehran Stock Exchange over the 2012-2016 period and also regression models with panel data. The results indicate a positive correlation between external financing, in both net and composition cases, with abnormal stock returns and also a negative correlation between external financing –again in both net and composition cases- with abnormal stock returns in the stock model. In addition, when we use net and composition financing simultaneously, there is not a significant relationship between net and composition finiancing and abnormal stock returns. Manuscript profile -
Open Access Article
8 - A New Approach for Solving Interval Quadratic Programming Problem
نعمت اله تقی نژاد فاطمه تالشیان مهدی شهینیThis paper discusses an Interval Quadratic Programming (IQP) problem, where the constraints coefficients and the right-hand sides are represented by interval data. First, the focus is on a common method for solving Interval Linear Programming problem. Then the idea is e MoreThis paper discusses an Interval Quadratic Programming (IQP) problem, where the constraints coefficients and the right-hand sides are represented by interval data. First, the focus is on a common method for solving Interval Linear Programming problem. Then the idea is extended to the IQP problem. Based on this method each IQP problem is reduced to two classical Quadratic Programming (QP) problems. Afterwards these classical problems are solved using the SQP algorithm and the numerical results are presented. Manuscript profile
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