{"title":"噪声环境下基于聚类的多种群遗传算法","authors":"Junhua Li, Ming Li, Xiaoqin Yang","doi":"10.1109/CCPR.2009.5344110","DOIUrl":null,"url":null,"abstract":"To extend GA's application, that is important to study on Genetic Algorithm under noise environment. This paper firstly described the noise environment of the GA, analyzed the effect on GA of noise; then two indexes were proposed to evaluate the performance of GA in the noisy environment, CBMPGA was proposed for the noisy optimization, the numerical experiment shows that the performance of CBMPGA is better than EGA and DCGA.","PeriodicalId":354468,"journal":{"name":"2009 Chinese Conference on Pattern Recognition","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Cluster Based Multi-Populations Genetic Algorithm in Noisy Environment\",\"authors\":\"Junhua Li, Ming Li, Xiaoqin Yang\",\"doi\":\"10.1109/CCPR.2009.5344110\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"To extend GA's application, that is important to study on Genetic Algorithm under noise environment. This paper firstly described the noise environment of the GA, analyzed the effect on GA of noise; then two indexes were proposed to evaluate the performance of GA in the noisy environment, CBMPGA was proposed for the noisy optimization, the numerical experiment shows that the performance of CBMPGA is better than EGA and DCGA.\",\"PeriodicalId\":354468,\"journal\":{\"name\":\"2009 Chinese Conference on Pattern Recognition\",\"volume\":\"11 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-12-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 Chinese Conference on Pattern Recognition\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CCPR.2009.5344110\",\"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 Chinese Conference on Pattern Recognition","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCPR.2009.5344110","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Cluster Based Multi-Populations Genetic Algorithm in Noisy Environment
To extend GA's application, that is important to study on Genetic Algorithm under noise environment. This paper firstly described the noise environment of the GA, analyzed the effect on GA of noise; then two indexes were proposed to evaluate the performance of GA in the noisy environment, CBMPGA was proposed for the noisy optimization, the numerical experiment shows that the performance of CBMPGA is better than EGA and DCGA.
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