{"title":"基于进化算法的最优轨迹分析及控制策略","authors":"Yuanxiang Li, Lishan Kang","doi":"10.1109/CEC.2002.1006987","DOIUrl":null,"url":null,"abstract":"In this article, we discuss a theory of the optimal trajectory for evolutionary algorithms from the optimal control theory of dynamical system. Control strategies are derived using theoretical results, such as the selection mechanism and the stopping condition for the design, analysis and application of evolutionary algorithms.","PeriodicalId":184547,"journal":{"name":"Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2002-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Analysis of optimal trajectory on evolutionary algorithm and some control strategies\",\"authors\":\"Yuanxiang Li, Lishan Kang\",\"doi\":\"10.1109/CEC.2002.1006987\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this article, we discuss a theory of the optimal trajectory for evolutionary algorithms from the optimal control theory of dynamical system. Control strategies are derived using theoretical results, such as the selection mechanism and the stopping condition for the design, analysis and application of evolutionary algorithms.\",\"PeriodicalId\":184547,\"journal\":{\"name\":\"Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600)\",\"volume\":\"25 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2002-05-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CEC.2002.1006987\",\"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 of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CEC.2002.1006987","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Analysis of optimal trajectory on evolutionary algorithm and some control strategies
In this article, we discuss a theory of the optimal trajectory for evolutionary algorithms from the optimal control theory of dynamical system. Control strategies are derived using theoretical results, such as the selection mechanism and the stopping condition for the design, analysis and application of evolutionary algorithms.