{"title":"一种用于负相关电路演化的高效差分演化方法","authors":"Zaisheng Huang, Jingsong He","doi":"10.1109/ISCID.2014.172","DOIUrl":null,"url":null,"abstract":"The fault-tolerant design of analog circuit is a very meaning thing. Negative-correlation redundant fault-tolerant design is a new approach. This paper proposes a method which uses single population to evolve negative-correlation circuit. Each chromosome represents only one circuit and evolves one circuit that meets requirements each evolution time. Then use the evolved circuits to guide the subsequent evolution process. According to the information of correlation in population, we change the evolved circuits dynamically. Meanwhile in order to further improve the efficiency of the algorithm, increasing diversity of population, we add variable structure operation and self-adaptive operation of genetic operator. When all the negative-correlation circuits are evolved, the algorithm terminates and outputs these circuits. Analog low-pass filter experiment shows that this method can evolve negative-correlation circuits which meet our requirements successfully. Compared with the conventional methods, it can shorten evolution time and improve the evolution efficiency.","PeriodicalId":385391,"journal":{"name":"2014 Seventh International Symposium on Computational Intelligence and Design","volume":"64 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"An Efficient Differential Evoluiton Method Used for Evolving Negative-Correlation Circuits\",\"authors\":\"Zaisheng Huang, Jingsong He\",\"doi\":\"10.1109/ISCID.2014.172\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The fault-tolerant design of analog circuit is a very meaning thing. Negative-correlation redundant fault-tolerant design is a new approach. This paper proposes a method which uses single population to evolve negative-correlation circuit. Each chromosome represents only one circuit and evolves one circuit that meets requirements each evolution time. Then use the evolved circuits to guide the subsequent evolution process. According to the information of correlation in population, we change the evolved circuits dynamically. Meanwhile in order to further improve the efficiency of the algorithm, increasing diversity of population, we add variable structure operation and self-adaptive operation of genetic operator. When all the negative-correlation circuits are evolved, the algorithm terminates and outputs these circuits. Analog low-pass filter experiment shows that this method can evolve negative-correlation circuits which meet our requirements successfully. Compared with the conventional methods, it can shorten evolution time and improve the evolution efficiency.\",\"PeriodicalId\":385391,\"journal\":{\"name\":\"2014 Seventh International Symposium on Computational Intelligence and Design\",\"volume\":\"64 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-12-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 Seventh International Symposium on Computational Intelligence and Design\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISCID.2014.172\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 Seventh International Symposium on Computational Intelligence and Design","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISCID.2014.172","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An Efficient Differential Evoluiton Method Used for Evolving Negative-Correlation Circuits
The fault-tolerant design of analog circuit is a very meaning thing. Negative-correlation redundant fault-tolerant design is a new approach. This paper proposes a method which uses single population to evolve negative-correlation circuit. Each chromosome represents only one circuit and evolves one circuit that meets requirements each evolution time. Then use the evolved circuits to guide the subsequent evolution process. According to the information of correlation in population, we change the evolved circuits dynamically. Meanwhile in order to further improve the efficiency of the algorithm, increasing diversity of population, we add variable structure operation and self-adaptive operation of genetic operator. When all the negative-correlation circuits are evolved, the algorithm terminates and outputs these circuits. Analog low-pass filter experiment shows that this method can evolve negative-correlation circuits which meet our requirements successfully. Compared with the conventional methods, it can shorten evolution time and improve the evolution efficiency.