{"title":"Hybrid algorithm based on max and min ant system and particle swarm optimization for solving TSP problem","authors":"Hao Qian, Tao Su","doi":"10.1109/YAC.2018.8406459","DOIUrl":null,"url":null,"abstract":"A hybrid algorithm which combines ant colony optimization algorithm and particle swarm optimization algorithm(ACO-PSO) is proposed to solve travelling salesman problem. Max-Min Ant System, whose parameters are optimized by PSO, is utilized to solve the problems. Massive of benchmark problems are utilized to test the performance of proposed algorithm.","PeriodicalId":226586,"journal":{"name":"2018 33rd Youth Academic Annual Conference of Chinese Association of Automation (YAC)","volume":"98 1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 33rd Youth Academic Annual Conference of Chinese Association of Automation (YAC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/YAC.2018.8406459","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7
Abstract
A hybrid algorithm which combines ant colony optimization algorithm and particle swarm optimization algorithm(ACO-PSO) is proposed to solve travelling salesman problem. Max-Min Ant System, whose parameters are optimized by PSO, is utilized to solve the problems. Massive of benchmark problems are utilized to test the performance of proposed algorithm.