WEKO3
アイテム
APPLICATION OF GENETIC ALGORITHMS TO MODELINGS OF PLASMA PHYSICS
https://repo.qst.go.jp/records/72456
https://repo.qst.go.jp/records/7245607ea4dcc-eeb6-4f84-b283-b6cbf6c72c95
Item type | 会議発表用資料 / Presentation(1) | |||||
---|---|---|---|---|---|---|
公開日 | 2017-09-22 | |||||
タイトル | ||||||
タイトル | APPLICATION OF GENETIC ALGORITHMS TO MODELINGS OF 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_c94f | |||||
資源タイプ | conference object | |||||
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 |
|||||
抄録 | ||||||
内容記述タイプ | Abstract | |||||
内容記述 | Genetic algorithms (GAs) become powerful tools to solve global optimization problems, such as finding a global maximum, not local maxima, which are typically more than a gradient-based method can manage. Sometimes a GA is advantageous compared to other schemes with respect to the convenience, partly because a merit function is not necessarily differentiable. In this presentation, we show various examples that a genetic algorithm-based optimizer is applicable to problems specific to plasma physics, such as finding out the magnetic axis and the X point. | |||||
会議概要(会議名, 開催地, 会期, 主催者等) | ||||||
内容記述タイプ | Other | |||||
内容記述 | The 25th International Conference on Numerical Simulation of Plasmas (ICNSP 2017) | |||||
発表年月日 | ||||||
日付 | 2017-09-18 | |||||
日付タイプ | Issued |