{"title":"一种新的用于数值优化的微分进化交叉算子","authors":"D. Tayal, C. Gupta, A. Jain","doi":"10.1109/ICCICT.2012.6398178","DOIUrl":null,"url":null,"abstract":"The first pioneering study on Evolutionary Computation was studied by Holland (1975). Since the inception of Evolutionary Computation, researchers are constantly focusing on developing new methodologies, techniques, operators etc. for better convergence of the evolutionary algorithms. In the present paper, we propose a new crossover operator in Differential Evolution (DE) which has an effective convergence and enhances the efficiency of the optimization strategy, used for numerical data.","PeriodicalId":319467,"journal":{"name":"2012 International Conference on Communication, Information & Computing Technology (ICCICT)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A new crossover operator in Differential Evolution for numerical optimization\",\"authors\":\"D. Tayal, C. Gupta, A. Jain\",\"doi\":\"10.1109/ICCICT.2012.6398178\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The first pioneering study on Evolutionary Computation was studied by Holland (1975). Since the inception of Evolutionary Computation, researchers are constantly focusing on developing new methodologies, techniques, operators etc. for better convergence of the evolutionary algorithms. In the present paper, we propose a new crossover operator in Differential Evolution (DE) which has an effective convergence and enhances the efficiency of the optimization strategy, used for numerical data.\",\"PeriodicalId\":319467,\"journal\":{\"name\":\"2012 International Conference on Communication, Information & Computing Technology (ICCICT)\",\"volume\":\"31 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-12-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 International Conference on Communication, Information & Computing Technology (ICCICT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCICT.2012.6398178\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 International Conference on Communication, Information & Computing Technology (ICCICT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCICT.2012.6398178","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A new crossover operator in Differential Evolution for numerical optimization
The first pioneering study on Evolutionary Computation was studied by Holland (1975). Since the inception of Evolutionary Computation, researchers are constantly focusing on developing new methodologies, techniques, operators etc. for better convergence of the evolutionary algorithms. In the present paper, we propose a new crossover operator in Differential Evolution (DE) which has an effective convergence and enhances the efficiency of the optimization strategy, used for numerical data.
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