{"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}
引用次数: 28
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.