{"title":"混沌遗传算法在变压器优化设计中的应用","authors":"Shuang Zhang, Qinghe Hu, Xingwei Wang, Zhiliang Zhu","doi":"10.1109/IWCFTA.2009.30","DOIUrl":null,"url":null,"abstract":"Optimal design of power transformer is discrete, multi-variable, nonlinear, multi-purposed, and mixed programmed. According to the characteristics of transformer optimal design, the paper combines genetic algorithm with chaos to get a new mixed generic algorithm. It is adopted to transformer electromagnetic calculation optimization, proving its good performance. This research is meaningful for the popularization and application of genetic algorithm to transformer optimal design.","PeriodicalId":279256,"journal":{"name":"2009 International Workshop on Chaos-Fractals Theories and Applications","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"21","resultStr":"{\"title\":\"Application of Chaos Genetic Algorithm to Transformer Optimal Design\",\"authors\":\"Shuang Zhang, Qinghe Hu, Xingwei Wang, Zhiliang Zhu\",\"doi\":\"10.1109/IWCFTA.2009.30\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Optimal design of power transformer is discrete, multi-variable, nonlinear, multi-purposed, and mixed programmed. According to the characteristics of transformer optimal design, the paper combines genetic algorithm with chaos to get a new mixed generic algorithm. It is adopted to transformer electromagnetic calculation optimization, proving its good performance. This research is meaningful for the popularization and application of genetic algorithm to transformer optimal design.\",\"PeriodicalId\":279256,\"journal\":{\"name\":\"2009 International Workshop on Chaos-Fractals Theories and Applications\",\"volume\":\"11 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-11-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"21\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 International Workshop on Chaos-Fractals Theories and Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IWCFTA.2009.30\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 International Workshop on Chaos-Fractals Theories and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IWCFTA.2009.30","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Application of Chaos Genetic Algorithm to Transformer Optimal Design
Optimal design of power transformer is discrete, multi-variable, nonlinear, multi-purposed, and mixed programmed. According to the characteristics of transformer optimal design, the paper combines genetic algorithm with chaos to get a new mixed generic algorithm. It is adopted to transformer electromagnetic calculation optimization, proving its good performance. This research is meaningful for the popularization and application of genetic algorithm to transformer optimal design.
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