著者

木村 和也 北山 哲士 山崎 光悦

出版者

一般社団法人日本機械学会

雑誌

設計工学・システム部門講演会講演論文集 (ISSN:13480286)

巻号頁・発行日

vol.2005, no.15, pp.435-438, 2005-08-02

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Particle Swarm Optimization (PSO) is one of the multipoint search methods to find global or quasi-optimum of non-convex function. The important characteristics of multipoint search methods are diversity and centralization of search points. In this paper we propose Improvement model to aim at the diversity and the centralization. Through numerical examples, it is examined that indicator of parameter decision, diversity, centralization, and the search ability of the Improved PSO.