Summary
International Symposium on Nonlinear Theory and its Applications
2009
Session Number:C1L-C
Session:
Number:C1L-C4
Particle Swarm Optimization Containing Plural Kinds of Swarms
Masaki Sugimoto, Taku Haraguchi, Haruna Matsushita, Yoshifumi Nishio,
pp.-
Publication Date:2009/10/18
Online ISSN:2188-5079
Summary:
This study proposes a new Particle Swarm Optimization (PSO) algorithm containing plural swarms whose particles have different features. Each particle of the proposed PSO belongs to one of plural swarms, which have different characteristics, and the particle periodically changes the swarm that it belongs to. We confirm the effectiveness of the proposed PSO for both unimodal and multimodal functions with various dimensions.