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مقاله
1 - A Review of Metaheuristic Algorithms and Data Envelopment AnalysisIranian Journal of Optimization , شماره 2 , سال 12 , زمستان 2020Today, many activities from businesses to engineering design, routing on the Internet, and even routing of foodstuff trucks require programming and optimization. Many of these problems have no determinate solution and cannot be solved easily. To solve these problems, al چکیده کاملToday, many activities from businesses to engineering design, routing on the Internet, and even routing of foodstuff trucks require programming and optimization. Many of these problems have no determinate solution and cannot be solved easily. To solve these problems, algorithms have been developed inspired by nature based on particle intelligence, biological, physical, and chemical systems, and even human communities and have been named after their inspiration source. A metaheuristic optimization algorithm is an innovative way that can be applied to various optimization problems by slight modifications. These algorithms can improve the capability of finding high-quality answers for difficult optimization problems significantly. The present paper reviews the application of various metaheuristic algorithms and data envelopment analysis (DEA) to optimization problems in the literature published in recent years. Descriptions are provided about the application of metaheuristic algorithms in DEA along with their applications, the field of activity, overlaps, and the integration of these two robust methods to find the optimal answer. پرونده مقاله -
مقاله
2 - Financial efficiency evaluation in a network with feedbacksIranian Journal of Optimization , شماره 5 , سال 11 , بهار 2019Financial efficiency evaluations in a network system, considering intermediate products, nowadays consideres great importance for managers. In the process of doing business analysis, each stage of in a network is of particular importance. In this paper, with the help of چکیده کاملFinancial efficiency evaluations in a network system, considering intermediate products, nowadays consideres great importance for managers. In the process of doing business analysis, each stage of in a network is of particular importance. In this paper, with the help of Data Envelopment Analysis (DEA), the performance of a network with feedbacks are considerd. In this assessment, financial efficiency is being assessed for a network with with inputs, outputs, intermediate products. As an example, the application of data from petrochemical companies is considered and implemented to a supply chain for evaluation and analysis the efficiencies. پرونده مقاله -
مقاله
3 - DEA models with out explicit inputs or outputs: radial and nonradial approachesIranian Journal of Optimization , شماره 5 , سال 14 , پاییز 2022Many applications and studies are concerns about studying DEA mod-els without explicit inputs or outputs for performance evaluation ofDecision Making Units (DMUs). On basis of what provided in DEAliterature in this paper it has been veried that in the mentioned ap-proa چکیده کاملMany applications and studies are concerns about studying DEA mod-els without explicit inputs or outputs for performance evaluation ofDecision Making Units (DMUs). On basis of what provided in DEAliterature in this paper it has been veried that in the mentioned ap-proach convexity assumption has not been properly dealt with. Thus,a modied approach has been presented and for clarity, an applicationof the DEA models without inputs and outputs are presented. پرونده مقاله -
مقاله
4 - A Bounded Additive Model for Efficiency Evaluation in Two-Stage Production Systems With Negative DataIranian Journal of Optimization , شماره 1 , سال 14 , زمستان 2022Data Envelopment Analysis (DEA) is a method for assessing the efficiency of Decision Making Units (DMUs). Traditional DEA models do not examine the potential differences between two stages caused by intermediate operations. As a result, DEA has been extended to evaluate چکیده کاملData Envelopment Analysis (DEA) is a method for assessing the efficiency of Decision Making Units (DMUs). Traditional DEA models do not examine the potential differences between two stages caused by intermediate operations. As a result, DEA has been extended to evaluate the efficiency of two-stage processes. In these processes, all outputs of the first stage are intermediate operations that comprise the inputs of the second stage. The input data in real-world applications may have negative values. In this study, considering the importance of network production processes, we deal with the efficiency evaluation of two-stage production units with negative data. Also, we extend CRS (constant returns to scale) bounded additive model for the efficiency evaluation of the two-stage units in the presence of negative data. For illustration, we evaluate the efficiency and ranking of 36 airlines by applying the new model. پرونده مقاله