Advances in differential evolution for solving multiobjective optimization problems

Authors:
Hongtao Ye;Meifang Zhou;Yan Wu
Affiliations:
Department of Electronic Information and Control Engineering, Guangxi University of Technology, Liuzhou, China;Office of the President, Guangxi University of Technology, Liuzhou, China;Department of Electronic Information and Control Engineering, Guangxi University of Technology, Liuzhou, China
Venue:
ICSI'12 Proceedings of the Third international conference on Advances in Swarm Intelligence - Volume Part I
Year:
2012

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Abstract

Differential evolution (DE) is a powerful evolutionary optimization algorithm with many successful scientific and engineering applications. This paper presents a survey of DE for solving multiobjective optimization problems (MOPs). It provides several prominent variants of the DE for solving MOPs. Then it presents an overview of the most significant engineering applications of DE. Finally, it points out the potential future research directions.