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Cluster‐structured particle swarm optimization with interaction and adaptation
Author(s) -
Yazawa Kazuyuki,
Tamura Kenichi,
Yasuda Keiichiro,
Motoki Makoto,
Ishigame Atsushi
Publication year - 2011
Publication title -
electronics and communications in japan
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.131
H-Index - 13
eISSN - 1942-9541
pISSN - 1942-9533
DOI - 10.1002/ecj.10379
Subject(s) - particle swarm optimization , cluster (spacecraft) , adaptation (eye) , computer science , multi swarm optimization , mathematical optimization , metaheuristic , global optimization , algorithm , mathematics , physics , optics , programming language
Particle swarm optimization (PSO) is one of the most powerful methods for solving unconstrained and constrained global optimization problems. A cluster‐structured PSO with interaction and adaptation is proposed in this paper, and the cluster structure, interaction, and adaptation of the proposed PSO are analyzed by numerical simulations. The feasibility and advantages of the proposed cluster‐structured PSO are demonstrated by numerical simulations using some typical global optimization test problems. © 2011 Wiley Periodicals, Inc. Electron Comm Jpn, 94(11): 9–17, 2011; Published online in Wiley Online Library ( wileyonlinelibrary.com ). DOI 10.1002/ecj.10379