{"title":"A New Dynamic Multi-objective Optimization Evolutionary Algorithm","authors":"Bojin Zheng","doi":"10.1109/ICNC.2007.91","DOIUrl":null,"url":null,"abstract":"Dynamic multi-objective optimization problems are very common in real-world applications. The researches on applying evolutionary algorithm into such problems are attracting more and more researchers. In this paper, a new dynamic multi-objective optimization evolutionary algorithm which utilizes hyper-mutation operator to deal with dynamics and geometrical Pareto selection to deal with multi-objective is introduced. The experimental results show that the performance is satisfactory.","PeriodicalId":250881,"journal":{"name":"Third International Conference on Natural Computation (ICNC 2007)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"62","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Third International Conference on Natural Computation (ICNC 2007)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICNC.2007.91","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 62
Abstract
Dynamic multi-objective optimization problems are very common in real-world applications. The researches on applying evolutionary algorithm into such problems are attracting more and more researchers. In this paper, a new dynamic multi-objective optimization evolutionary algorithm which utilizes hyper-mutation operator to deal with dynamics and geometrical Pareto selection to deal with multi-objective is introduced. The experimental results show that the performance is satisfactory.
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