A study on combination of differential evolution and evolution strategy

descriptionPublicationkeyboard_double_arrow_right Article , Conference object 01 Oct 2012Publisher:IEEEJournal:2012 IEEE International Conference on Systems, Man, and Cybernetics (SMC)

Authors: Keiichiro Yasuda; Kengo Makise; Kenichi Tamura;

doi: 10.1109/icsmc.2012.6377789

A study on combination of differential evolution and evolution strategy

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Abstract

In this paper, a new optimization method based on a combination of Differential Evolution (DE) and Evolution Strategy (ES), which belong to both Meta-Heuristics and Evolutionary Computation, are developed as a fast approximation optimization method. A weak point of DE is weak local search ability and considerable computation time for obtaining a good approximate solution. The proposed method aims at compensation for the weak points of DE by connecting ES with strong local search capacity. The effectiveness of the proposed method is confirmed through the numerical experiments.

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Tokyo Metropolitan University
Japan

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