A Proposal for Adaptive Cuckoo Search Based on Search Point Ranking

カテゴリ: 部門大会

論文No: SS1-4

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 Proposal for Adaptive Cuckoo Search Based on Search Point Ranking

著者名: Miyake Yuki(Tokyo Metropolitan University),Tamura Kenichi(Tokyo Metropolitan University),Tsuchiya Junichi(Tokyo Metropolitan University),Yasuda Keiichiro(Tokyo Metropolitan University)

著者名(英語): Yuki Miyake|Kenichi Tamura|Junichi Tsuchiya|Keiichiro Yasuda

キーワード: Metaheuristics|Cuckoo Search|Proximate Optimality Principle|Diversification|IntensificationParameter Adjustment

要約(日本語): Recently, the development of high-performance metaheuristics has become an important subject. In this study, an adaptive Cuckoo Search based on ranking of search point is proposed. This study aims to improve the performance of Cuckoo Search by adjusting the parameter β to allow search points with good evaluation value to search nearby and those with poor evaluation value to search far away. Finally, the performance of the proposed method is evaluated by numerical experiments.

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