{"title":"Improved optimization algorithm for frequency selective surface","authors":"H. M. Linh, M. Mussetta, F. Grimaccia, R. Zich","doi":"10.1109/APEMC.2012.6237969","DOIUrl":null,"url":null,"abstract":"FSS are typically periodic media characterized by the capability to inhibit the electromagnetic wave propagation for each angle and each polarization in a specific frequency band. These complex structures present different degree of freedom, that can be used to optimize the performances of the application. On the other hand, the management of different degrees of freedom can result in the complexity increasing of the entire device-design procedure. The aim of this research is to analyse the optimization of FSS by means of MetaPSO, a novel implementation of Particle Swarm Optimization with the aim of a more efficient search over the solution space obtained with a negligible overhead in both complexity and speed.","PeriodicalId":300639,"journal":{"name":"2012 Asia-Pacific Symposium on Electromagnetic Compatibility","volume":"119 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 Asia-Pacific Symposium on Electromagnetic Compatibility","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/APEMC.2012.6237969","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
FSS are typically periodic media characterized by the capability to inhibit the electromagnetic wave propagation for each angle and each polarization in a specific frequency band. These complex structures present different degree of freedom, that can be used to optimize the performances of the application. On the other hand, the management of different degrees of freedom can result in the complexity increasing of the entire device-design procedure. The aim of this research is to analyse the optimization of FSS by means of MetaPSO, a novel implementation of Particle Swarm Optimization with the aim of a more efficient search over the solution space obtained with a negligible overhead in both complexity and speed.