Application of differential evolution for data envelopment analysis

Sandeep Kumar Mogha and Shiv Prasad Yadav

International Journal of Data Science, 2016, vol. 1, issue 3, 247-258

Abstract: Data envelopment analysis (DEA) is a well-known technique for measuring the performance of homogeneous decision-making units (DMUs). Performances of DMUs can also be calculated by using some different techniques. Differential evolution (DE) is a versatile technique used for solving a wide range of problems occurring in various fields. In the present study, we propose a novel application of simple differential evolution (SDE) for solving data envelopment analysis-based models. The mathematical model of the problem is constrained in nature for which Pareto ranking method is embedded in SDE.

Keywords: DEA; data envelopment analysis; differential evolution; constrained optimisation; public hospitals; Uttarakhand; India; decision making units; DMUs; mathematical modelling; Pareto ranking. (search for similar items in EconPapers)
Date: 2016
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