{"title":"Particle Swarm Optimization of Reduced-size HF Dipoles","authors":"P. Kajenski","doi":"10.1109/APS.2006.1711385","DOIUrl":null,"url":null,"abstract":"Particle swarm optimization is a stochastic evolutionary computation technique that emulates the behavior of swarms. The algorithm was used to optimize the design of reduced-size meandered line and end-loaded dipoles. The performance characteristics of both styles of antenna, optimized to the same criteria, are compared","PeriodicalId":6423,"journal":{"name":"2006 IEEE Antennas and Propagation Society International Symposium","volume":"30 1","pages":"3551-3554"},"PeriodicalIF":0.0000,"publicationDate":"2006-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2006 IEEE Antennas and Propagation Society International Symposium","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/APS.2006.1711385","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
Particle swarm optimization is a stochastic evolutionary computation technique that emulates the behavior of swarms. The algorithm was used to optimize the design of reduced-size meandered line and end-loaded dipoles. The performance characteristics of both styles of antenna, optimized to the same criteria, are compared
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