{"title":"利用遗传算法进行电磁器件的优化设计","authors":"G. F. Uler, O. Mohammed","doi":"10.1109/SECON.1995.513063","DOIUrl":null,"url":null,"abstract":"The application of genetic algorithms (GAs) to the design optimization of electromagnetic devices is presented. The method is applied to a magnetizer to design its pole face. Optimization is sought to achieve a desired magnetic flux density distribution in the device. The shape of the pole face is constructed from the control points by means of uniform nonrational b-splines. The results obtained signify the efficiency of the method.","PeriodicalId":334874,"journal":{"name":"Proceedings IEEE Southeastcon '95. Visualize the Future","volume":"48 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1994-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"99","resultStr":"{\"title\":\"Utilizing genetic algorithms for the optimal design of electromagnetic devices\",\"authors\":\"G. F. Uler, O. Mohammed\",\"doi\":\"10.1109/SECON.1995.513063\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The application of genetic algorithms (GAs) to the design optimization of electromagnetic devices is presented. The method is applied to a magnetizer to design its pole face. Optimization is sought to achieve a desired magnetic flux density distribution in the device. The shape of the pole face is constructed from the control points by means of uniform nonrational b-splines. The results obtained signify the efficiency of the method.\",\"PeriodicalId\":334874,\"journal\":{\"name\":\"Proceedings IEEE Southeastcon '95. Visualize the Future\",\"volume\":\"48 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1994-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"99\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings IEEE Southeastcon '95. Visualize the Future\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SECON.1995.513063\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings IEEE Southeastcon '95. Visualize the Future","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SECON.1995.513063","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Utilizing genetic algorithms for the optimal design of electromagnetic devices
The application of genetic algorithms (GAs) to the design optimization of electromagnetic devices is presented. The method is applied to a magnetizer to design its pole face. Optimization is sought to achieve a desired magnetic flux density distribution in the device. The shape of the pole face is constructed from the control points by means of uniform nonrational b-splines. The results obtained signify the efficiency of the method.
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