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Indexed by:期刊论文

Date of Publication:2012-07-01

Journal:Journal of Computational Information Systems

Included Journals:EI、Scopus

Volume:8

Issue:13

Page Number:5401-5408

Abstract:This paper proposed a modulo-similarity model based on fitness values and distances between different particles. This model can cluster particles with great similarity into several sub-swarms. We proposed a new adaptively multimodal particle swarm optimization algorithm based on this new similarity model. The proposed method doesn't rely on any prespecified niching parameter. Experiments show that MMPSO has comparable or better performance than rpso in handling a set of standard multimodal test functions. Moreover, MMPSO needs lower computation cost than rpso. ? 2011 by Binary Information Press.