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超立方体交叉手法を用いた Differential Evolution の提案
https://nfu.repo.nii.ac.jp/records/2261
https://nfu.repo.nii.ac.jp/records/2261b6b9c935-49ba-4889-96f0-73a6f7a0f766
名前 / ファイル | ライセンス | アクション |
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kenkou16-03-oba (678.8 kB)
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Item type | 紀要論文(ELS) / Departmental Bulletin Paper(1) | |||||
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公開日 | 2013-03-30 | |||||
タイトル | ||||||
タイトル | 超立方体交叉手法を用いた Differential Evolution の提案 | |||||
タイトル | ||||||
言語 | en | |||||
タイトル | A Proposal of Hypercube Crossover Method on Differential Evolution | |||||
言語 | ||||||
言語 | jpn | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | 差分進化,進化計算,実数値関数最適化,形質遺伝,UV構造,超立方体交叉 | |||||
キーワード | ||||||
言語 | en | |||||
主題Scheme | Other | |||||
主題 | differential evolution, real-valued function optimization, characteristics preservation, UV-structure, hypercube crossover method | |||||
資源タイプ | ||||||
資源タイプ識別子 | http://purl.org/coar/resource_type/c_6501 | |||||
資源タイプ | departmental bulletin paper | |||||
記事種別(日) | ||||||
値 | 原著論文 | |||||
記事種別(英) | ||||||
言語 | en | |||||
値 | Original | |||||
論文名よみ | ||||||
その他のタイトル | チョウリッポウタイ コウサ シュホウ オ モチイタ DIFFERENTIAL EVOLUTION ノ テイアン | |||||
著者名(日) |
大場, 和久
× 大場, 和久× 串田, 淳一 |
|||||
著者名(英) |
Oba, Kazuhisa
× Oba, Kazuhisa× Kushida, Jun-ichi |
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著者所属(日) | ||||||
値 | 日本福祉大学健康科学部 | |||||
著者所属(日) | ||||||
値 | 広島市立大学大学院情報科学研究科 | |||||
抄録(英) | ||||||
内容記述タイプ | Other | |||||
内容記述 | Differential Evolution (DE) is a global optimizer for solving real parameter optimization. DE is effective for many problems and has a few control parameters to be set. The child vectors can exist in a range wider than the range of the parent vectors, as the parent vectors are generated by differential operations. The search range becomes narrower as the range of population of individuals becomes narrower. So DE can search globally at an earlier stage of the search and can search locally at a stage in which the range of population of individuals is narrow. In this paper, we propose the Hypercube Crossover Method (HCM), which does not depend on U-valley direction. The proposed method sets positions of the parents to the hypercube diagonal position, and a child is generated on the vertex position of the hypercube. This will enable the DE algorithm to search in the perpendicular direction to the U-valley. The performance of the proposed method is evaluated by numerical experiments, and the experimental results are considered from the viewpoint of the variety of the individuals population. Finally, future work is discussed. | |||||
雑誌書誌ID | ||||||
収録物識別子タイプ | NCID | |||||
収録物識別子 | AA12406697 | |||||
書誌情報 |
日本福祉大学健康科学論集 en : Journal of health sciences, Nihon Fukushi University 巻 16, p. 9-17, 発行日 2013-03-30 |