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Evolutionary Particle Swarm Optimization: A Metaoptimization Method with GA for Estimating Optimal PSO Models
http://hdl.handle.net/10228/1225
http://hdl.handle.net/10228/1225a311a225-6d61-42db-839d-b6722900fa02
| 名前 / ファイル | ライセンス | アクション |
|---|---|---|
springer_z.pdf (341.0 kB)
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| アイテムタイプ | 学術雑誌論文 = Journal Article(1) | |||||
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| 公開日 | 2009-01-14 | |||||
| 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 | |||||
| タイトル | ||||||
| タイトル | Evolutionary Particle Swarm Optimization: A Metaoptimization Method with GA for Estimating Optimal PSO Models | |||||
| 言語 | en | |||||
| その他のタイトル | ||||||
| その他のタイトル | Evolutionary Particle Swarm Optimization – A Meta-Optimization Method with GA forEstimating Optimal PSO Models | |||||
| 言語 | en | |||||
| 言語 | ||||||
| 言語 | eng | |||||
| 著者 |
章, 宏
× 章, 宏× 石川, 眞澄 |
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| 抄録 | ||||||
| 内容記述タイプ | Abstract | |||||
| 内容記述 | Particle swarm optimization (PSO) is an algorithm for swarm intelligence based on stochastic and population-based adaptive optimization inspired by social behavior of bird flocks and fish swarms [5, 10]. To demonstrate the effectiveness of the proposed EPSO method, computer experiments on a two-dimensional optimization problem are carried out. We show experimental results, confirm the characteristics of dependency on initial conditions, and analyze the resulting PSO models. The rest of the chapter is organized as follows. Section 5.2 briefly describes the original PSO and RGA/E. Section 5.3 presents the proposed EPSO method and a key idea about the temporally cumulative fitness that we used in the method. Section 5.4 discusses the results of computer experiments applied to a two-dimensional optimization problem and Sect. 5.5 gives conclusions. |
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| 言語 | en | |||||
| 書誌情報 |
Lecture Notes in Electrical Engineering 巻 6, p. 75-90, 発行日 2008-05-01 |
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| 出版社 | ||||||
| 出版者 | Springer | |||||
| DOI | ||||||
| 関連タイプ | isVersionOf | |||||
| 識別子タイプ | DOI | |||||
| 関連識別子 | https://doi.org/10.1007/978-0-387-74935-8_5 | |||||
| ISBN | ||||||
| 識別子タイプ | ISBN | |||||
| 関連識別子 | 978-0-387-74934-1 | |||||
| ISBN | ||||||
| 識別子タイプ | ISBN | |||||
| 関連識別子 | 978-0-387-74935-8 | |||||
| ISSN | ||||||
| 収録物識別子タイプ | PISSN | |||||
| 収録物識別子 | 1876-1100 | |||||
| ISSN | ||||||
| 収録物識別子タイプ | EISSN | |||||
| 収録物識別子 | 1876-1119 | |||||
| 著作権関連情報 | ||||||
| 権利情報 | The original publication is available at www.springerlink.com | |||||
| 関連情報 | ||||||
| 言語 | en | |||||
| 関連名称 | Trends in Intelligent Systems and Computer Engineering | |||||
| 出版タイプ | ||||||
| 出版タイプ | AM | |||||
| 出版タイプResource | http://purl.org/coar/version/c_ab4af688f83e57aa | |||||
| 査読の有無 | ||||||
| 値 | yes | |||||
| 業績ID | ||||||
| 値 | ADA2F59B2AB2BEEE49257538001932E0 | |||||
