タカハマ セツコ
TAKAHAMA Setsuko 高濱 節子 所属 広島修道大学 商学部 職種 教授 |
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言語種別 | 英語 |
発行・発表の年月 | 2020/12 |
形態種別 | 学術論文 |
査読 | 査読有り |
標題 | Adaptive Directional Mutation for an Adaptive Differential Evolution Algorithm |
執筆形態 | 共著 |
掲載誌名 | Proceedings of SCIS & ISIS2020 |
掲載区分 | 国外 |
巻・号・頁 | 1,pp.262-268 |
頁数 | 7 |
著者・共著者 | Tetsuyuki Takahama, Setsuko Sakai |
概要 | In this study, we focus on mutation strategies and propose an adaptive mutation strategy to improve JADE. Some directional mutation strategies, which utilize directional difference vectors from bad individuals to good individuals, have been proposed to improve search speed. However, in order to avoid local solutions, the vectors in opposite direction may be necessary. The proper frequency of such vectors depends on the problem and the search process. We propose an adaptive mutation strategy that controls the frequency of directional and opposite directional vectors adaptively to realizes efficient and stable search. The advantage of JADE with the proposed method is shown by solving thirteen benchmark problems. |