{"title":"电机遗传算法优化","authors":"O. Mohammed","doi":"10.1109/IEMDC.1997.604194","DOIUrl":null,"url":null,"abstract":"Genetic algorithms (GAs) have been successfully applied to the design optimization of electromagnetic devices. In this paper, practical issues relating to the implementation the technique are examined. The possibility of a premature convergence in some applications is studied. Recommendations and guidelines to take these practical implementation issues into consideration are explained through application examples.","PeriodicalId":176640,"journal":{"name":"1997 IEEE International Electric Machines and Drives Conference Record","volume":"28 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1997-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":"{\"title\":\"GA optimization in electric machines\",\"authors\":\"O. Mohammed\",\"doi\":\"10.1109/IEMDC.1997.604194\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Genetic algorithms (GAs) have been successfully applied to the design optimization of electromagnetic devices. In this paper, practical issues relating to the implementation the technique are examined. The possibility of a premature convergence in some applications is studied. Recommendations and guidelines to take these practical implementation issues into consideration are explained through application examples.\",\"PeriodicalId\":176640,\"journal\":{\"name\":\"1997 IEEE International Electric Machines and Drives Conference Record\",\"volume\":\"28 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1997-05-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"10\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"1997 IEEE International Electric Machines and Drives Conference Record\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IEMDC.1997.604194\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"1997 IEEE International Electric Machines and Drives Conference Record","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IEMDC.1997.604194","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Genetic algorithms (GAs) have been successfully applied to the design optimization of electromagnetic devices. In this paper, practical issues relating to the implementation the technique are examined. The possibility of a premature convergence in some applications is studied. Recommendations and guidelines to take these practical implementation issues into consideration are explained through application examples.
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