カテゴリ: 論文誌(論文単位)グループ名: 【C】電子・情報・システム部門発行日: 2019/10/01タイトル(英語): Adaptive Particle Swarm Optimization with Rotational Invariance著者名: 熊谷 渉（首都大学東京），安田 恵一郎（首都大学東京）著者名(英語): Wataru Kumagai (Tokyo Metropolitan University), Keiichiro Yasuda (Tokyo Metropolitan University)キーワード: メタヒューリスティクス，Particle Swarm Optimization，適応化，パラメータ調整，回転不変性 metaheuristics，particle swarm optimization，adaptation，parameter adjustment，rotational invariance要約(英語): Robustness and adaptability are necessary for metaheuristics because they are applied in various environment such as black-box optimization. In this paper, adding a parameter adjustment rule to Particle Swarm Optimization with rotational invariance using correlativity (CRI-PSO), we develop an adaptive CRI-PSO to improve the adaptability and maintain the robustness. First, using the swarm activity as an index evaluating the search state, we analyze a parameter of CRI-PSO based on intensification and diversification. Second, the parameter adjustment rule is based on evaluation and control of the search state. The rule controls the search state to realize intensification and diversification by adaptively adjusting the parameter. Also, the rule is designed so as to the adaptive CRI-PSO satisfies several transformation invariances of the solution space PSO not having. The performances (robustness and adaptability) of the adaptive CRI-PSO are verified through numerical experiments for typical benchmark functions comparing the adaptive CRI-PSO with three types of conventional PSOs.本誌: 電気学会論文誌C（電子・情報・システム部門誌） Vol.139 No.10 （2019） 特集Ⅰ：インテリジェント・システム 特集Ⅱ：2018電気関係学会四国支部連合大会本誌掲載ページ: 1201-1214 p原稿種別: 論文／日本語電子版へのリンク: https://www.jstage.jst.go.jp/article/ieejeiss/139/10/139_1201/_article/-char/ja/
