| 题名 | Surrogate-Assisted Enhanced Global Optimization Based on Hybrid de for Antenna Design |
| 作者 | |
| DOI | |
| 发表日期 | 2020-12-07
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| 会议名称 | 2020 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization (NEMO)
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| ISBN | 978-1-7281-6967-5
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| 会议录名称 | |
| 页码 | 1-4
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| 会议日期 | 7-9 Dec. 2020
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| 会议地点 | Hangzhou, China
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| 摘要 | A novel surrogate-assisted enhanced global optimization (SAEGO) method is proposed for antenna design. The proposed algorithm takes advantage of surrogate to improve efficiency of global optimization and combines global and local search to improve the accuracy of solution. The proposed algorithm is verified through optimization of Ackley function and a Yagi-Uda antenna. The results show that the proposed algorithm finds a more accurate minimum value with less computational time than other optimization algorithms. |
| 关键词 | |
| 学校署名 | 其他
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| 语种 | 英语
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| 相关链接 | [Scopus记录] |
| 收录类别 | |
| WOS记录号 | WOS:000675465100072
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| EI入藏号 | 20210909979812
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| EI主题词 | Directive antennas
; Global optimization
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| EI分类号 | Optimization Techniques:921.5
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| Scopus记录号 | 2-s2.0-85101284120
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| 来源库 | Scopus
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| 全文链接 | https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9343471 |
| 引用统计 |
被引频次[WOS]：2
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| 成果类型 | 会议论文 |
| 条目标识符 | http://sustech.caswiz.com/handle/2SGJ60CL/221868 |
| 专题 | 南方科技大学 工学院_电子与电气工程系 |
| 作者单位 | 1.Harbin Institute of Technology,Harbin,China 2.Southern University of Science and Technology,Dept. Electrical and Electronic Eng.,Shenzhen,China |
| 推荐引用方式 GB/T 7714 |
Zhang，Zhen,Chen，Hongcai,Cheng，Qingsha S.. Surrogate-Assisted Enhanced Global Optimization Based on Hybrid de for Antenna Design[C],2020:1-4.
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| 条目包含的文件 | ||||||
| 文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | 操作 | |
| Surrogate-Assisted_E（1057KB） | -- | -- | 限制开放 | -- | ||
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