Applying the Cross-Sectional Efficiency Method to Rank Efficient Units in Adjusting Particle Aggregation Optimization Algorithm Parameters
Journal Title: System Engineering and Productivity - Year 2022, Vol 1, Issue 1
Abstract
Since the DEA method measures relative efficiency and in cases where more than one efficient unit is obtained, it is not able to provide the best efficient unit. For this reason, ranking decision-making units is considered one of the important issues in DEA. One of the solutions to determine the best efficient unit is to use the cross-efficiency method to rank the work units, which is actually developed from the DEA method. This paper seeks to investigate the cross-efficiency of the efficient units provided by the DEA method and ultimately, to provide the best efficient unit from the parameter combinations of the particle aggregation optimization algorithm in solving different sizes of the open vehicle routing problem. In this study, we rank efficient units using the cross-efficiency method using previously simulated data that has provided several efficient units in evaluating the particle swarm optimization algorithm for solving each of the different sizes of the open vehicle routing problem. The results show that the cross-efficiency method is an effective tool for ranking the performance of decision-making units.
Authors and Affiliations
Mahdi Bashiri, Samira Rabiei
Keywords
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- EP ID EP764870
- DOI 10.22034/sep.2022.243394
- Views 27
- Downloads 0
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Since the DEA method measures relative efficiency and in cases where more than one efficient unit is obtained, it is not able to provide the best efficient unit. For this reason, ranking decision-making units is consider...
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