中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Multi‐objective optimization design of the large‐scale high‐intensity homogeneous magnetic field coil system based on non‐dominated sorting genetic algorithm (NSGA‐II)

文献类型:期刊论文

作者Boliang Zhu2; Yiwei Lu2; Yong Yang2; Ming Zhang2; Li Jiang1; Shusheng Wang1
刊名IET Electric Power Applications
出版日期2022-03-11
源URL[http://ir.hfcas.ac.cn:8080/handle/334002/133250]  
专题合肥物质科学研究院_中科院等离子体物理研究所
作者单位1.Institute of Plasma Physics, Chinese Academy of Sciences, Hefei, China
2.Huazhong University of Science and Technology, Wuhan, China
推荐引用方式
GB/T 7714
Boliang Zhu,Yiwei Lu,Yong Yang,et al. Multi‐objective optimization design of the large‐scale high‐intensity homogeneous magnetic field coil system based on non‐dominated sorting genetic algorithm (NSGA‐II)[J]. IET Electric Power Applications,2022.
APA Boliang Zhu,Yiwei Lu,Yong Yang,Ming Zhang,Li Jiang,&Shusheng Wang.(2022).Multi‐objective optimization design of the large‐scale high‐intensity homogeneous magnetic field coil system based on non‐dominated sorting genetic algorithm (NSGA‐II).IET Electric Power Applications.
MLA Boliang Zhu,et al."Multi‐objective optimization design of the large‐scale high‐intensity homogeneous magnetic field coil system based on non‐dominated sorting genetic algorithm (NSGA‐II)".IET Electric Power Applications (2022).

入库方式: OAI收割

来源:合肥物质科学研究院

浏览0
下载0
收藏0
其他版本

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。