{"title":"差异进化:性能和分析","authors":"N. Padhye, Pulkit Mittal, K. Deb","doi":"10.1109/CEC.2013.6557799","DOIUrl":null,"url":null,"abstract":"In this paper, we apply Differential Evolution (DE) algorithm in combination with a recently proposed constraint-handling strategy and study the performance 01' the resulting algorithm on CEC'13 test suite [1], and other constrained optimization problems. The goal of this exercise is to clearly identify and highlight the challenges encountered with the DE search while solving a range of optimization problems. We emphasize that understanding and resolving fundamental issues of a search procedure and considering the nature of the optimization problems at hand is the key to effective deployment of evolutionary procedures for search and optimization.","PeriodicalId":211988,"journal":{"name":"2013 IEEE Congress on Evolutionary Computation","volume":"28 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"28","resultStr":"{\"title\":\"Differential evolution: Performances and analyses\",\"authors\":\"N. Padhye, Pulkit Mittal, K. Deb\",\"doi\":\"10.1109/CEC.2013.6557799\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we apply Differential Evolution (DE) algorithm in combination with a recently proposed constraint-handling strategy and study the performance 01' the resulting algorithm on CEC'13 test suite [1], and other constrained optimization problems. The goal of this exercise is to clearly identify and highlight the challenges encountered with the DE search while solving a range of optimization problems. We emphasize that understanding and resolving fundamental issues of a search procedure and considering the nature of the optimization problems at hand is the key to effective deployment of evolutionary procedures for search and optimization.\",\"PeriodicalId\":211988,\"journal\":{\"name\":\"2013 IEEE Congress on Evolutionary Computation\",\"volume\":\"28 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-06-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"28\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 IEEE Congress on Evolutionary Computation\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CEC.2013.6557799\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 IEEE Congress on Evolutionary Computation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CEC.2013.6557799","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
In this paper, we apply Differential Evolution (DE) algorithm in combination with a recently proposed constraint-handling strategy and study the performance 01' the resulting algorithm on CEC'13 test suite [1], and other constrained optimization problems. The goal of this exercise is to clearly identify and highlight the challenges encountered with the DE search while solving a range of optimization problems. We emphasize that understanding and resolving fundamental issues of a search procedure and considering the nature of the optimization problems at hand is the key to effective deployment of evolutionary procedures for search and optimization.