Selection of initial solutions for local search in multiobjective genetic local search

descriptionPublicationkeyboard_double_arrow_right Article , Conference object 25 Jun 2003Publisher:IEEEJournal:Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600), volume 1, pages 950-955

Authors: Hisao Ishibuchi; Tadsahi Yoshida; Tadahiko Murata;

doi: 10.1109/cec.2002.1007053

Selection of initial solutions for local search in multiobjective genetic local search

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Abstract

In multiobjective genetic local search (MOGLS) algorithms, the local search is usually applied to all offsprings generated by genetic operations. This paper proposes an idea of selecting only good offsprings as initial solutions for the local search. Simulation results show that the proposed idea significantly improves the search ability of MOGLS algorithms.

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Osaka Metropolitan University
Japan

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