Differential Evolution with Adaptive Parameter Adjustment

カテゴリ: 部門大会

論文No: OS4-7

グループ名: 【C】平成25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: 2013/09/04

タイトル(英語): Differential Evolution with Adaptive Parameter Adjustment

著者名: Ruren Ji(Tokyo Metropolitan University),Kenichi Tamura(Tokyo Metropolitan University),Keiichiro Yasuda(Tokyo Metropolitan University)

著者名(英語): Ruren Ji(Tokyo Metropolitan University),Kenichi Tamura(Tokyo Metropolitan University),Keiichiro Yasuda(Tokyo Metropolitan University)

キーワード: Meta-Heuristics|Differential Evolution|Diversification|Intensification|Adaptive Adjustment Method

要約(日本語): In this paper, we focus on one of the Meta-Heuristics Differential Evolution (DE) and propose an adaptive parameter adjustment method to improve its search performance and usability.
First, we define a scalar index based on numerical analysis according which diversification and intensification of search in DE can be executed. Moreover, we set an ideal target schedule for the index to reach a high level of search performance. Then we propose an adaptive parameter adjustment method to adjust the parameters properly so that the index can follow the ideal target schedule during the search process.
Finally, we use several classic benchmark problems for the numerical experiment to verify the effectiveness of this newly proposed method.

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