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Adaptively Species-Migration-Based Multimodal Particle Swarm Optimization

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Indexed by:期刊论文

Date of Publication:2011-07-01

Journal:Journal of Computational Information Systems

Included Journals:EI、Scopus

Volume:7

Issue:7

Page Number:2379-2386

ISSN No.:15539105

Abstract:Niching technique plays an important role in multimodal function optimization. This paper introduces species migration and removes duplicate species into niching algorithms and proposes Adaptively Species-Migration-Based Multimodal Particle Swarm Optimization (SMPSO). The proposed algorithm doesn't rely on any prespecified niching parameter. Experiments show that SMPSO has higher success rate and needs lower computation cost than ANPSO in handling most of standard multimodal functions. Copyright ? 2011 Binary Information Press.

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