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Application of genetic algorithms to modelings of fusion plasma physics
https://repo.qst.go.jp/records/49085
https://repo.qst.go.jp/records/490850b237273-3ac7-4c0c-a6b3-afef0c779fa1
| Item type | 学術雑誌論文 / Journal Article(1) | |||||
|---|---|---|---|---|---|---|
| 公開日 | 2018-06-19 | |||||
| タイトル | ||||||
| タイトル | Application of genetic algorithms to modelings of fusion plasma physics | |||||
| 言語 | ||||||
| 言語 | eng | |||||
| 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 | |||||
| アクセス権 | ||||||
| アクセス権 | metadata only access | |||||
| アクセス権URI | http://purl.org/coar/access_right/c_14cb | |||||
| 著者 |
本多, 充
× 本多, 充× 本多 充 |
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| 抄録 | ||||||
| 内容記述タイプ | Abstract | |||||
| 内容記述 | The genetic algorithm based optimizer is a powerful tool for global optimization. Taking advantage of this feature, it is applied to physical modelings of magnetically confined toroidal plasmas: searching the positions of the magnetic axis and the X point in an axisymmetric equilibrium, fitting an analytic function to the measurement points and developing an automated flux matching tool. Through the modelings, the wide applicability of the genetic algorithm based optimizer is elucidated. | |||||
| 書誌情報 |
Computer Physics Communications 巻 231, p. 94-106, 発行日 2018-10 |
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| 出版者 | ||||||
| 出版者 | Elsevier | |||||
| DOI | ||||||
| 識別子タイプ | DOI | |||||
| 関連識別子 | 10.1016/j.cpc.2018.04.025 | |||||
| 関連サイト | ||||||
| 識別子タイプ | URI | |||||
| 関連識別子 | https://www.sciencedirect.com/science/article/pii/S0010465518301413 | |||||
| 関連名称 | https://www.sciencedirect.com/science/article/pii/S0010465518301413 | |||||
