基于粒子群算法的圆形贴片微带天线谐振频率优化

2011 International Conference on Computational Intelligence and Communication Networks Pub Date : 2011-10-07 DOI:10.1109/CICN.2011.124

Saurabh Kumar, R. Kumar, B. Kanaujia

{"title":"基于粒子群算法的圆形贴片微带天线谐振频率优化","authors":"Saurabh Kumar, R. Kumar, B. Kanaujia","doi":"10.1109/CICN.2011.124","DOIUrl":null,"url":null,"abstract":"In this paper, a robust stochastic algorithm called Particle Swarm Optimization (PSO) is used to optimize resonant frequency of circular microstrip patch antenna. A modified formula for resonant frequency is presented using PSO. The obtained results using particle swarm optimization has been compared with experimental and theoretical values of previous papers. The results were in good agreement with experimental value with an average error of 0.18%.","PeriodicalId":292190,"journal":{"name":"2011 International Conference on Computational Intelligence and Communication Networks","volume":"22 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Optimization of Resonant Frequency of Circular Patch Microstrip Antenna Using Particle Swarm Optimization\",\"authors\":\"Saurabh Kumar, R. Kumar, B. Kanaujia\",\"doi\":\"10.1109/CICN.2011.124\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, a robust stochastic algorithm called Particle Swarm Optimization (PSO) is used to optimize resonant frequency of circular microstrip patch antenna. A modified formula for resonant frequency is presented using PSO. The obtained results using particle swarm optimization has been compared with experimental and theoretical values of previous papers. The results were in good agreement with experimental value with an average error of 0.18%.\",\"PeriodicalId\":292190,\"journal\":{\"name\":\"2011 International Conference on Computational Intelligence and Communication Networks\",\"volume\":\"22 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-10-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 International Conference on Computational Intelligence and Communication Networks\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CICN.2011.124\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 International Conference on Computational Intelligence and Communication Networks","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CICN.2011.124","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 1

摘要

本文采用一种鲁棒随机算法粒子群算法(PSO)来优化圆形微带贴片天线的谐振频率。利用粒子群算法提出了谐振频率的修正公式。用粒子群算法得到的结果与前人的实验值和理论值进行了比较。计算结果与实验值吻合较好，平均误差为0.18%。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Optimization of Resonant Frequency of Circular Patch Microstrip Antenna Using Particle Swarm Optimization

In this paper, a robust stochastic algorithm called Particle Swarm Optimization (PSO) is used to optimize resonant frequency of circular microstrip patch antenna. A modified formula for resonant frequency is presented using PSO. The obtained results using particle swarm optimization has been compared with experimental and theoretical values of previous papers. The results were in good agreement with experimental value with an average error of 0.18%.

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

2011 International Conference on Computational Intelligence and Communication Networks

自引率

0.00%

发文量