{"title":"基于局部搜索的代理模型感知进化算法的天线阵优化","authors":"Bo Liu, S. Koziel","doi":"10.1109/APS.2015.7305054","DOIUrl":null,"url":null,"abstract":"In the paper, antenna array optimization by means of an enhanced surrogate model-aware evolutionary search (SMAS) framework is presented. The enhancements aim at improving local optimization capabilities of SMAS. The local search engine, exploiting a surrogate assisted trust-region-based local search algorithm ORBIT is launched to fine-tune the solutions generated by SMAS to further decrease the optimization cost and maintain the global optimization ability of the algorithm. Two examples of linear array antenna problems verify the advantages of the method.","PeriodicalId":242998,"journal":{"name":"2015 IEEE International Symposium on Antennas and Propagation & USNC/URSI National Radio Science Meeting","volume":"25 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Antenna array optimization using surrogate-model aware evolutionary algorithm with local search\",\"authors\":\"Bo Liu, S. Koziel\",\"doi\":\"10.1109/APS.2015.7305054\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In the paper, antenna array optimization by means of an enhanced surrogate model-aware evolutionary search (SMAS) framework is presented. The enhancements aim at improving local optimization capabilities of SMAS. The local search engine, exploiting a surrogate assisted trust-region-based local search algorithm ORBIT is launched to fine-tune the solutions generated by SMAS to further decrease the optimization cost and maintain the global optimization ability of the algorithm. Two examples of linear array antenna problems verify the advantages of the method.\",\"PeriodicalId\":242998,\"journal\":{\"name\":\"2015 IEEE International Symposium on Antennas and Propagation & USNC/URSI National Radio Science Meeting\",\"volume\":\"25 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-10-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 IEEE International Symposium on Antennas and Propagation & USNC/URSI National Radio Science Meeting\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/APS.2015.7305054\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE International Symposium on Antennas and Propagation & USNC/URSI National Radio Science Meeting","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/APS.2015.7305054","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Antenna array optimization using surrogate-model aware evolutionary algorithm with local search
In the paper, antenna array optimization by means of an enhanced surrogate model-aware evolutionary search (SMAS) framework is presented. The enhancements aim at improving local optimization capabilities of SMAS. The local search engine, exploiting a surrogate assisted trust-region-based local search algorithm ORBIT is launched to fine-tune the solutions generated by SMAS to further decrease the optimization cost and maintain the global optimization ability of the algorithm. Two examples of linear array antenna problems verify the advantages of the method.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
