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Cluster-Structured Particle Swarm Optimization with Interaction
Kazuyuki Yazawa,Makoto Motoki,Keiichiro Yasuda 제어로봇시스템학회 2009 제어로봇시스템학회 국제학술대회 논문집 Vol.2009 No.8
A new cluster-structured Particle Swarm Optimization (PSO) with interaction and diversity of parameters is proposed in this paper. A swarm of PSO is divided into some sub-swarms (clusters), and not only interactions between sub-swarms and but also diversity of PSO parameters are added so as to improve the search ability of PSO. The cluster structure and the interaction of the proposed PSO are analyzed through some numerical simulations. The feasibility and the advantage of the proposed cluster-structured PSO are demonstrated through numerical simulations using four typical optimization test problems.