A Basic Study of Firefly Algorithm Utilizing Cluster Information for Superior Solution Set Search Problem

カテゴリ: 部門大会

論文No: SS1-5

グループ名: 【C】平成29年電気学会電子・情報・システム部門大会講演論文集

発行日: 2017/09/06

タイトル(英語): A Basic Study of Firefly Algorithm Utilizing Cluster Information for Superior Solution Set Search Problem

著者名: Wang Hongran(Tokyo Metropolitan University),Tamura Kenichi(Tokyo Metropolitan University),Tsuchiya Junichi(Tokyo Metropolitan University),Yasuda Keiichiro(Tokyo Metropolitan University)

著者名(英語): Wang Hongran|Kenichi Tamura|Junichi Tsuchiya|Keiichiro Yasuda

キーワード: メタヒューリスティクス|優良解集合探索問題|k-means法|Firefly Algorithm|Metaheuristics|Superior Solution Set Search Problem|k-means clustering|Firefly Algorithm

要約(日本語): We analyzed the search characteristics of Firefly Algorithm (FA), which has a fundamental nature of a Superior Solution Set Search Problem, previously defined in our previous study for single-objective optimization problems. In this study, we proposed a new FA method based on the former problem. This method, which employs cluster information by K-means clustering, is tested for performance by fundamental numerical experiments.

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