{"title":"模拟电路合成使用双端口理论和遗传规划","authors":"A. Senn, A. Peter, J. Korvink","doi":"10.1109/AFRCON.2011.6072054","DOIUrl":null,"url":null,"abstract":"This paper describes a novel approach for analog electronic circuits synthesis using two-port theory and genetic programming. In contrast to other approaches, circuits are modeled as two-port networks which enables a straight forward encoding and evaluation of the circuit's structure. In this way, a number of active and passive linear circuits were synthesized and optimised for multiple objectives. The algorithm output comprises both evolved topologies and the corresponding component values.","PeriodicalId":125684,"journal":{"name":"IEEE Africon '11","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Analog circuit synthesis using two-port theory and genetic programming\",\"authors\":\"A. Senn, A. Peter, J. Korvink\",\"doi\":\"10.1109/AFRCON.2011.6072054\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper describes a novel approach for analog electronic circuits synthesis using two-port theory and genetic programming. In contrast to other approaches, circuits are modeled as two-port networks which enables a straight forward encoding and evaluation of the circuit's structure. In this way, a number of active and passive linear circuits were synthesized and optimised for multiple objectives. The algorithm output comprises both evolved topologies and the corresponding component values.\",\"PeriodicalId\":125684,\"journal\":{\"name\":\"IEEE Africon '11\",\"volume\":\"15 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-11-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Africon '11\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/AFRCON.2011.6072054\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Africon '11","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AFRCON.2011.6072054","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Analog circuit synthesis using two-port theory and genetic programming
This paper describes a novel approach for analog electronic circuits synthesis using two-port theory and genetic programming. In contrast to other approaches, circuits are modeled as two-port networks which enables a straight forward encoding and evaluation of the circuit's structure. In this way, a number of active and passive linear circuits were synthesized and optimised for multiple objectives. The algorithm output comprises both evolved topologies and the corresponding component values.