{"title":"DTLZ问题的免疫系统多目标优化算法","authors":"Bin Zhang, Weihua Ren, Lihua Zhao, Xiaozheng Deng","doi":"10.1109/ICNC.2009.135","DOIUrl":null,"url":null,"abstract":"Based on Artificial Immune System, a novel Immune System Multiobjective Optimization Algorithm (ISMOA) is proposed. ISMOA presents nondominated sorting clonal selection operation, preserving the diversity of the population and more uniformly distributing global Pareto optimal solutions. The comparisons of ISMOA with NSGAII in DTLZ problems suggest that ISMOA clearly outperforms in converging towards the true front coverage and finding the spread of solutions.","PeriodicalId":235382,"journal":{"name":"2009 Fifth International Conference on Natural Computation","volume":"36 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Immune System Multiobjective Optimization Algorithm for DTLZ Problems\",\"authors\":\"Bin Zhang, Weihua Ren, Lihua Zhao, Xiaozheng Deng\",\"doi\":\"10.1109/ICNC.2009.135\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Based on Artificial Immune System, a novel Immune System Multiobjective Optimization Algorithm (ISMOA) is proposed. ISMOA presents nondominated sorting clonal selection operation, preserving the diversity of the population and more uniformly distributing global Pareto optimal solutions. The comparisons of ISMOA with NSGAII in DTLZ problems suggest that ISMOA clearly outperforms in converging towards the true front coverage and finding the spread of solutions.\",\"PeriodicalId\":235382,\"journal\":{\"name\":\"2009 Fifth International Conference on Natural Computation\",\"volume\":\"36 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-08-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 Fifth International Conference on Natural Computation\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICNC.2009.135\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 Fifth International Conference on Natural Computation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICNC.2009.135","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Immune System Multiobjective Optimization Algorithm for DTLZ Problems
Based on Artificial Immune System, a novel Immune System Multiobjective Optimization Algorithm (ISMOA) is proposed. ISMOA presents nondominated sorting clonal selection operation, preserving the diversity of the population and more uniformly distributing global Pareto optimal solutions. The comparisons of ISMOA with NSGAII in DTLZ problems suggest that ISMOA clearly outperforms in converging towards the true front coverage and finding the spread of solutions.
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