{"title":"A Multi-Objective Evolutionary Algorithm Based on Principal Component Analysis and Grid Division","authors":"Mei Ma, Hecheng Li, Jing Huang","doi":"10.1109/CIS2018.2018.00051","DOIUrl":null,"url":null,"abstract":"In order to effectively solve the many objective optimization problems (MaOPs), a new multi-objective evolutionary algorithm is proposed. Firstly, utilizes the principal component analysis (PCA) to reduce the dimension of objective space. The main idea is do a correlation analysis between objectives. Secondly, puts forward a new grid division method. In the course of dividing, make sure all grid sizes are equal. The simulation illustrates the efficiency of the proposed algorithm.","PeriodicalId":185099,"journal":{"name":"2018 14th International Conference on Computational Intelligence and Security (CIS)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 14th International Conference on Computational Intelligence and Security (CIS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CIS2018.2018.00051","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
In order to effectively solve the many objective optimization problems (MaOPs), a new multi-objective evolutionary algorithm is proposed. Firstly, utilizes the principal component analysis (PCA) to reduce the dimension of objective space. The main idea is do a correlation analysis between objectives. Secondly, puts forward a new grid division method. In the course of dividing, make sure all grid sizes are equal. The simulation illustrates the efficiency of the proposed algorithm.
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