{"title":"An evolutionary algorithm with double strategy for global optimization problems","authors":"Jianqin Liu, Ning Li, Yang Zhao","doi":"10.1109/ICIS.2014.6912141","DOIUrl":null,"url":null,"abstract":"In this paper, we propose a novel evolutionary algorithm with double strategy (DSEA), and prove the asymptotic convergence of DSEA by using the Markov-chain theory. For five high dimension Benchmark functions, the simulation calculation shows that DSEA is superior to PSO and DE, and it is very suitable to solve the global optimization problems.","PeriodicalId":237256,"journal":{"name":"2014 IEEE/ACIS 13th International Conference on Computer and Information Science (ICIS)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE/ACIS 13th International Conference on Computer and Information Science (ICIS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIS.2014.6912141","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In this paper, we propose a novel evolutionary algorithm with double strategy (DSEA), and prove the asymptotic convergence of DSEA by using the Markov-chain theory. For five high dimension Benchmark functions, the simulation calculation shows that DSEA is superior to PSO and DE, and it is very suitable to solve the global optimization problems.