频率选择曲面的粒子群优化

Bo Zhang, Z. Xue, Weiming Li, W. Ren, Xinqing Sheng
{"title":"频率选择曲面的粒子群优化","authors":"Bo Zhang, Z. Xue, Weiming Li, W. Ren, Xinqing Sheng","doi":"10.1109/CSQRWC.2012.6294988","DOIUrl":null,"url":null,"abstract":"Particle Swarm Optimization (PSO) has been successfully applied in the design and optimization of electromagnetic structures. Combined with FDTD technique, PSO is applied in the design of frequency selective surfaces. Together with the GPU acceleration, the FDTD program runs about 100 times faster while preserves the broad-band nature of the algorithm. Standard PSO and binary PSO are applied to deal with known cell structure and unknown cell structure optimization respectively. The entire optimization scheme is verified by the numerical results.","PeriodicalId":250360,"journal":{"name":"CSQRWC 2012","volume":"61 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":"{\"title\":\"Particle Swarm Optimization of frequency selective surface\",\"authors\":\"Bo Zhang, Z. Xue, Weiming Li, W. Ren, Xinqing Sheng\",\"doi\":\"10.1109/CSQRWC.2012.6294988\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Particle Swarm Optimization (PSO) has been successfully applied in the design and optimization of electromagnetic structures. Combined with FDTD technique, PSO is applied in the design of frequency selective surfaces. Together with the GPU acceleration, the FDTD program runs about 100 times faster while preserves the broad-band nature of the algorithm. Standard PSO and binary PSO are applied to deal with known cell structure and unknown cell structure optimization respectively. The entire optimization scheme is verified by the numerical results.\",\"PeriodicalId\":250360,\"journal\":{\"name\":\"CSQRWC 2012\",\"volume\":\"61 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-07-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"9\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"CSQRWC 2012\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CSQRWC.2012.6294988\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"CSQRWC 2012","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CSQRWC.2012.6294988","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 9

摘要

粒子群算法已成功地应用于电磁结构的设计与优化。结合时域有限差分技术,将粒子群算法应用于频率选择曲面的设计。与GPU加速一起,FDTD程序运行速度提高了约100倍,同时保留了算法的宽带特性。采用标准粒子群算法和二元粒子群算法分别对已知细胞结构和未知细胞结构进行优化。数值结果验证了整个优化方案的正确性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Particle Swarm Optimization of frequency selective surface
Particle Swarm Optimization (PSO) has been successfully applied in the design and optimization of electromagnetic structures. Combined with FDTD technique, PSO is applied in the design of frequency selective surfaces. Together with the GPU acceleration, the FDTD program runs about 100 times faster while preserves the broad-band nature of the algorithm. Standard PSO and binary PSO are applied to deal with known cell structure and unknown cell structure optimization respectively. The entire optimization scheme is verified by the numerical results.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信