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領域適応型Particle Swarm Optimizationによる複数の最適解の探索
https://doi.org/10.24517/00008093
https://doi.org/10.24517/00008093439d04b5-4a23-497c-ae81-51452df47245
| 名前 / ファイル | ライセンス | アクション |
|---|---|---|
TE-PR-KITAYAMA-S-710.pdf (428.4 kB)
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| Item type | 学術雑誌論文 / Journal Article(1) | |||||||||||||
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| 公開日 | 2017-10-03 | |||||||||||||
| タイトル | ||||||||||||||
| タイトル | 領域適応型Particle Swarm Optimizationによる複数の最適解の探索 | |||||||||||||
| タイトル | ||||||||||||||
| タイトル | Adaptive range particle swarm optimization to find multiple optima | |||||||||||||
| 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 | 10.24517/00008093 | |||||||||||||
| ID登録タイプ | JaLC | |||||||||||||
| 著者 |
北山, 哲士
× 北山, 哲士× 宮川, 智栄× 山崎, 光悦× 荒川, 雅生 |
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| 著者別表示 |
Kitayama, Satoshi
× Kitayama, Satoshi
× Miyakawa, Chie
× Yamazaki, Koetsu
× Arakawa, Masao
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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 en : Transactions of the Japan Society of Mechanical Engineers. C 巻 75, 号 751, p. 710-718, 発行日 2009-03-01 |
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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 = Japan Society of Mechanical Engineers | |||||||||||||
| 抄録 | ||||||||||||||
| 内容記述タイプ | Abstract | |||||||||||||
| 内容記述 | The main objective called as the population based optimization techniques is to find a global minimum. However, it is sometimes preferable to find multiple optima in the engineering design. The Adaptive Range Particle Swarm Optimization (ARPSO) to find multiple optima is proposed in this paper. The active search domain range of the ARPSO is only one, however, many active search domain ranges to find multiple optima are generated in the proposed appoach. At first, the many active search domain ranges are generated by the paired particles, and the procedure of the ARPSO is applied. Then, the paired particles find local or global minimum separetely. Many active search domain ranges are sometimes integrated through the search process. The detail procedure to integrate the active search domain ranges is also explained in this paper. It is possible to find multiple optima with high accuracy by the proposed approach. The validity of proposed method is examined through numerical examples. | |||||||||||||
| 内容記述 | ||||||||||||||
| 内容記述タイプ | Other | |||||||||||||
| 内容記述 | 出版者許諾要件により、2010年4月より全文公開. | |||||||||||||
| 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 | |||||||||||||
