著者

安田 恵一郎 永岡 右明

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 2003.13 (ISSN:24243078)

巻号頁・発行日

pp.128-129, 2003-10-30 (Released:2017-06-19)

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Recent years, several multipoint-search-based meta-heuristics such as Genetic Algorithm (GA), Particle Swarm Optimization (PSO) have been proposed and have been proved to be efficient methods for global optimization problems. In this report, a new multipoint-search method, which is based on the interaction among search points is proposed. Some simulations using typical knapsack problems verify the search performance of the proposed method.