Parameter Analysis and Adaption of Cuckoo Search

カテゴリ: 部門大会

論文No: SS4-2

グループ名: 【C】平成27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: 2015/08/27

タイトル(英語): Parameter Analysis and Adaption of Cuckoo Search

著者名: Wataru Kumagai(Tokyo Metropolitan University),Kenichi Tamura(Tokyo Metropolitan University),Keiichiro Yasuda(Tokyo Metropolitan University)

著者名(英語): Wataru Kumagai(Tokyo Metropolitan University),Kenichi Tamura(Tokyo Metropolitan University),Keiichiro Yasuda(Tokyo Metropolitan University)

キーワード: Metaheuristics|Cuckoo Search|Parameter Adjustment|Parameter Analysis|Levy FlightsStationary Point Process|Metaheuristics|Cuckoo Search|Parameter Adjustment|Parameter Analysis|Levy FlightsStationary Point Process

要約(日本語): In recently years, a new optimization paradigm called metaheuristics attracts attention. In this paper, we focus on Cuckoo Search (CS) that is one of metaheuristics, and propose an adaptive CS to improve its search performance and usability. First, we analyze basically and qualitatively the effects of CS's parameter on its search dynamics. Second, from the analysis results, we define an indicator that evaluates the search state of CS based on the effective metaheuristics strategy. Moreover, based on the indicator, we construct a new mechanism to control the search state by adaptively adjusting a parameter of CS. The performance of the proposed adaptive CS with the parameter adjustment mechanism is verified through numerical simulations for several types of typical benchmark problems.

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