Int. J. of Data Science   »   2016 Vol.1, No.3

 

 

Title: Application of differential evolution for data envelopment analysis

 

Authors: Sandeep Kumar Mogha; Shiv Prasad Yadav

 

Addresses:
Department of Applied Sciences, The NorthCap University, Gurgaon 122017, India
Department of Mathematics, Indian Institute of Technology Roorkee, Roorkee 247667, India

 

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.

 

DOI: 10.1504/IJDS.2016.075934

 

Int. J. of Data Science, 2016 Vol.1, No.3, pp.247 - 258

 

Available online: 12 Apr 2016

 

 

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