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Published in:
2010 | OriginalPaper | Chapter
Analyzing the Explorative Power of Differential Evolution Variants on Different Classes of Problems
Authors : G. Jeyakumar, C. Shanmugavelayutham
Published in: Swarm, Evolutionary, and Memetic Computing
Publisher: Springer Berlin Heidelberg
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This paper is focusing on comparing the performance of Differential Evolution (DE) variants, in the light of analyzing their Explorative power on a set of benchmark function. We have chosen fourteen different variants of DE and fourteen benchmark functions grouped by feature: Unimodal Separable, Unimodal NonSeparable, Multimodal Separable and Multimodal NonSeparable. Fourteen variants of DE were implemented and tested on these fourteen functions for the dimension of 30. The explorative power of the variants is evaluated and analyzed by measuring the evolution of population variance, at each generation. This analysis provides insight about the competitiveness of DE variants in solving the problem at hand.