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大域的最適化法としてのDifferential Evolutionと数値計算
https://doi.org/10.24517/00008056
https://doi.org/10.24517/0000805695a3a31a-b0e9-4c44-ba94-f646b0d2e975
| 名前 / ファイル | ライセンス | アクション |
|---|---|---|
TE-PR-KITAYAMA-S-2819.pdf (1.5 MB)
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| Item type | 学術雑誌論文 / Journal Article(1) | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 公開日 | 2017-10-03 | |||||||||||||
| タイトル | ||||||||||||||
| タイトル | 大域的最適化法としてのDifferential Evolutionと数値計算 | |||||||||||||
| タイトル | ||||||||||||||
| タイトル | Differential evolution as the global optimization technique and its computing | |||||||||||||
| 言語 | en | |||||||||||||
| 言語 | ||||||||||||||
| 言語 | jpn | |||||||||||||
| 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 | journal article | |||||||||||||
| ID登録 | ||||||||||||||
| ID登録 | 10.24517/00008056 | |||||||||||||
| ID登録タイプ | JaLC | |||||||||||||
| 著者 |
北山, 哲士
× 北山, 哲士× 酒井, 忍× 荒川, 雅生× 山﨑, 光悦 |
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| 著者別表示 |
Kitayama, Satoshi
× Kitayama, Satoshi
× Sakai, Shinobu
× Arakawa, Masao
× Yamazaki, Koetsu
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| 提供者所属 | ||||||||||||||
| 内容記述タイプ | Other | |||||||||||||
| 内容記述 | 金沢大学理工研究域機械工学系 | |||||||||||||
| 書誌情報 |
日本機械学會論文集. C編 = Transactions of the Japan Society of Mechanical Engineers. C 巻 76, 号 771, p. 2819-2828, 発行日 2010-11-01 |
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| ISSN | ||||||||||||||
| 収録物識別子タイプ | ISSN | |||||||||||||
| 収録物識別子 | 0387-5024 | |||||||||||||
| NCID | ||||||||||||||
| 収録物識別子タイプ | NCID | |||||||||||||
| 収録物識別子 | AN00187463 | |||||||||||||
| 出版者 | ||||||||||||||
| 出版者 | 日本機械学会 | |||||||||||||
| 抄録 | ||||||||||||||
| 内容記述タイプ | Abstract | |||||||||||||
| 内容記述 | In this paper, Differential Evolution (DE) is examined through two aspects. Thus, one is the meta-heuristics, and the other is the global optimization technique. It is said that DE is the global optimization technique, and also belongs to the meta-huristics. Indeed, DE can find the global minimum through numerical experiments. However, there are no proofs and useful examinations with respect to such comments. In this paper, DE is compared with the Generalized Random Tunneling Algorithm (GRTA) and the Particle Swarm Optimization (PSO), that are the global optimization techniques. Through the examination, some common characteristics as the global optimization technique are clarified in this paper. In addition, the difference of the neighborhood between DE and PSO is clarified. As the result, DE is possible to belong to the global optimization techniques. Additionally, DE is also examined as the meta-heuristics. Through benchmark test problems, the search ability of DE as the global optimization technique is examined. | |||||||||||||
| 著者版フラグ | ||||||||||||||
| 出版タイプ | VoR | |||||||||||||
| 出版タイプResource | http://purl.org/coar/version/c_970fb48d4fbd8a85 | |||||||||||||
| 関連URI | ||||||||||||||
| 識別子タイプ | URI | |||||||||||||
| 関連識別子 | http://www.jsme.or.jp/ | |||||||||||||
