{"title":"采用进化算法和混合算法进行非线性电路直流工作点分析","authors":"D. Crutchley, Mark Zwolinski","doi":"10.1109/CEC.2002.1007020","DOIUrl":null,"url":null,"abstract":"Traditionally, the DC operating points of a nonlinear electronic circuit are found using the Newton-Raphson method, which has known problems. It is not globally convergent; it can frequently diverge; and cannot find multiple solutions in a single pass. We discuss the use of evolutionary algorithms to overcome these problems.","PeriodicalId":184547,"journal":{"name":"Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600)","volume":"79 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2002-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"Using evolutionary and hybrid algorithms for DC operating point analysis of nonlinear circuits\",\"authors\":\"D. Crutchley, Mark Zwolinski\",\"doi\":\"10.1109/CEC.2002.1007020\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Traditionally, the DC operating points of a nonlinear electronic circuit are found using the Newton-Raphson method, which has known problems. It is not globally convergent; it can frequently diverge; and cannot find multiple solutions in a single pass. We discuss the use of evolutionary algorithms to overcome these problems.\",\"PeriodicalId\":184547,\"journal\":{\"name\":\"Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600)\",\"volume\":\"79 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2002-05-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"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.2002.1007020\",\"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.2002.1007020","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Using evolutionary and hybrid algorithms for DC operating point analysis of nonlinear circuits
Traditionally, the DC operating points of a nonlinear electronic circuit are found using the Newton-Raphson method, which has known problems. It is not globally convergent; it can frequently diverge; and cannot find multiple solutions in a single pass. We discuss the use of evolutionary algorithms to overcome these problems.