{"title":"利用内部搜索算法进行工程优化","authors":"A. Gandomi, D. Roke","doi":"10.1109/SIS.2014.7011771","DOIUrl":null,"url":null,"abstract":"A new global optimization algorithm, the interior search algorithm (ISA), is introduced for solving engineering optimization problems. The ISA has been recently proposed and has two new search operators, composition optimization and mirror search. In the current study, the optimization process starts with composition optimization and linearly switches to mirror search. For validation against engineering optimization problems, ISA is applied to several benchmark engineering problems reported in the literature. The optimal solutions obtained by ISA are better than the best solutions obtained by the other methods representative of the state-of-the-art in optimization algorithms.","PeriodicalId":380286,"journal":{"name":"2014 IEEE Symposium on Swarm Intelligence","volume":"88 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"28","resultStr":"{\"title\":\"Engineering optimization using interior search algorithm\",\"authors\":\"A. Gandomi, D. Roke\",\"doi\":\"10.1109/SIS.2014.7011771\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A new global optimization algorithm, the interior search algorithm (ISA), is introduced for solving engineering optimization problems. The ISA has been recently proposed and has two new search operators, composition optimization and mirror search. In the current study, the optimization process starts with composition optimization and linearly switches to mirror search. For validation against engineering optimization problems, ISA is applied to several benchmark engineering problems reported in the literature. The optimal solutions obtained by ISA are better than the best solutions obtained by the other methods representative of the state-of-the-art in optimization algorithms.\",\"PeriodicalId\":380286,\"journal\":{\"name\":\"2014 IEEE Symposium on Swarm Intelligence\",\"volume\":\"88 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"28\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 IEEE Symposium on Swarm Intelligence\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SIS.2014.7011771\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE Symposium on Swarm Intelligence","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SIS.2014.7011771","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Engineering optimization using interior search algorithm
A new global optimization algorithm, the interior search algorithm (ISA), is introduced for solving engineering optimization problems. The ISA has been recently proposed and has two new search operators, composition optimization and mirror search. In the current study, the optimization process starts with composition optimization and linearly switches to mirror search. For validation against engineering optimization problems, ISA is applied to several benchmark engineering problems reported in the literature. The optimal solutions obtained by ISA are better than the best solutions obtained by the other methods representative of the state-of-the-art in optimization algorithms.