{"title":"电动汽车永磁电机质量优化的实数编码遗传算法","authors":"N. B. Hadj, S. Tounsi, R. Neji, F. Sellami","doi":"10.1109/ISCIII.2007.367380","DOIUrl":null,"url":null,"abstract":"This paper presents the application of real coded genetic algorithms in the optimization of permanent magnet motor mass in order to reduce simultaneously the cost and the consumption of electric vehicles (EVs).","PeriodicalId":314768,"journal":{"name":"2007 International Symposium on Computational Intelligence and Intelligent Informatics","volume":"5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":"{\"title\":\"Real Coded Genetic Algorithm for Permanent Magnet Motor Mass Minimization for Electric Vehicle Application\",\"authors\":\"N. B. Hadj, S. Tounsi, R. Neji, F. Sellami\",\"doi\":\"10.1109/ISCIII.2007.367380\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents the application of real coded genetic algorithms in the optimization of permanent magnet motor mass in order to reduce simultaneously the cost and the consumption of electric vehicles (EVs).\",\"PeriodicalId\":314768,\"journal\":{\"name\":\"2007 International Symposium on Computational Intelligence and Intelligent Informatics\",\"volume\":\"5 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-03-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"12\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2007 International Symposium on Computational Intelligence and Intelligent Informatics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISCIII.2007.367380\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2007 International Symposium on Computational Intelligence and Intelligent Informatics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISCIII.2007.367380","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Real Coded Genetic Algorithm for Permanent Magnet Motor Mass Minimization for Electric Vehicle Application
This paper presents the application of real coded genetic algorithms in the optimization of permanent magnet motor mass in order to reduce simultaneously the cost and the consumption of electric vehicles (EVs).