Nattaset Mhudtongon, C. Phongcharoenpanich, Koki Watanabe
{"title":"基于改进果蝇优化算法的最大指向性线性天线综合","authors":"Nattaset Mhudtongon, C. Phongcharoenpanich, Koki Watanabe","doi":"10.1109/URSI-EMTS.2016.7571494","DOIUrl":null,"url":null,"abstract":"Linear antenna array synthesis with maximum directivity using an improved fruit fly optimization algorithm with adaptive fruit fly swarm population size, namely IMFOA, is presented in this paper. The IMFOA is a recently explored, high-performance algorithm, and suitable for solving the optimization problems. To show the versatility of the presented method, the objective of antenna design is to achieve maximum directivity for linear antenna array by controlling amplitude and spacing parameters of the array antenna. A design example is presented that illustrate the use of the IMFOA, and the optimization goal in example is accurately provided and easily achieved. The result of the IMFOA is validated by comparing with results obtained using the MFOA method, and GA/Fminsearch method. Finally, the IMFOA method is efficient and accurate for electromagnetic problems of the linear antenna array in free space.","PeriodicalId":400853,"journal":{"name":"2016 URSI International Symposium on Electromagnetic Theory (EMTS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Linear antenna synthesis with maximum directivity using improved fruit fly optimization algorithm\",\"authors\":\"Nattaset Mhudtongon, C. Phongcharoenpanich, Koki Watanabe\",\"doi\":\"10.1109/URSI-EMTS.2016.7571494\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Linear antenna array synthesis with maximum directivity using an improved fruit fly optimization algorithm with adaptive fruit fly swarm population size, namely IMFOA, is presented in this paper. The IMFOA is a recently explored, high-performance algorithm, and suitable for solving the optimization problems. To show the versatility of the presented method, the objective of antenna design is to achieve maximum directivity for linear antenna array by controlling amplitude and spacing parameters of the array antenna. A design example is presented that illustrate the use of the IMFOA, and the optimization goal in example is accurately provided and easily achieved. The result of the IMFOA is validated by comparing with results obtained using the MFOA method, and GA/Fminsearch method. Finally, the IMFOA method is efficient and accurate for electromagnetic problems of the linear antenna array in free space.\",\"PeriodicalId\":400853,\"journal\":{\"name\":\"2016 URSI International Symposium on Electromagnetic Theory (EMTS)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 URSI International Symposium on Electromagnetic Theory (EMTS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/URSI-EMTS.2016.7571494\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 URSI International Symposium on Electromagnetic Theory (EMTS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/URSI-EMTS.2016.7571494","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Linear antenna synthesis with maximum directivity using improved fruit fly optimization algorithm
Linear antenna array synthesis with maximum directivity using an improved fruit fly optimization algorithm with adaptive fruit fly swarm population size, namely IMFOA, is presented in this paper. The IMFOA is a recently explored, high-performance algorithm, and suitable for solving the optimization problems. To show the versatility of the presented method, the objective of antenna design is to achieve maximum directivity for linear antenna array by controlling amplitude and spacing parameters of the array antenna. A design example is presented that illustrate the use of the IMFOA, and the optimization goal in example is accurately provided and easily achieved. The result of the IMFOA is validated by comparing with results obtained using the MFOA method, and GA/Fminsearch method. Finally, the IMFOA method is efficient and accurate for electromagnetic problems of the linear antenna array in free space.