Cluster‐structured particle swarm optimization with interaction and adaptation
Kazuyuki Yazawa, Kenichi Tamura, Keiichiro Yasuda, Makoto Motoki, Atsushi Ishigame · Electronics and Communications in Japan · 2011
Abstract 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