Performance Evaluation of Differential Evolution Algorithm Using CEC 2010 Test Suite Problems

Abstract

Differential evolution algorithm (DE) is a novel parallel direct search evolutionary algorithm. Here we measure the performance of differential evolution algorithm on CEC 2010 test suite problems. It has found that the performance of standard differential evolution algorithm depend upon the value of decision parameters I,e parameter setting and DE require more explorative strategy during population evolution for large dimension problem.