{"title":"A Sorting Based Algorithm for Finding a Non-dominated Set in Multi-objective Optimization","authors":"Jun Du, Z. Cai, Yunliang Chen","doi":"10.1109/ICNC.2007.142","DOIUrl":null,"url":null,"abstract":"sorting based algorithm is proposed in this paper for finding non-dominated set in Multi-Objective optimization. The algorithm is composed by sorting step and dominated solutions deleting step. Some enhancement techniques including primary non-dominated solutions, scoring and summation sequence are used to reduce the computa tional complexity. Compared with the classic Kung et al.'s efficient algorithm, experiments show sorting based algorithm performs almost the same efficiently as the Kung et al.'s algorithm when there are less objectives and solutions, and much better when there are more objectives and solutions.","PeriodicalId":250881,"journal":{"name":"Third International Conference on Natural Computation (ICNC 2007)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"31","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Third International Conference on Natural Computation (ICNC 2007)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICNC.2007.142","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 31
Abstract
sorting based algorithm is proposed in this paper for finding non-dominated set in Multi-Objective optimization. The algorithm is composed by sorting step and dominated solutions deleting step. Some enhancement techniques including primary non-dominated solutions, scoring and summation sequence are used to reduce the computa tional complexity. Compared with the classic Kung et al.'s efficient algorithm, experiments show sorting based algorithm performs almost the same efficiently as the Kung et al.'s algorithm when there are less objectives and solutions, and much better when there are more objectives and solutions.
提出了一种基于排序的多目标优化非支配集查找算法。该算法由排序步骤和劣势解删除步骤组成。采用主非支配解、计分和数列等增强技术来降低计算复杂度。与经典的Kung et al.高效算法相比,实验表明,当目标和解较少时,基于排序的算法与Kung et al.算法的效率基本相同,而当目标和解较多时,基于排序的算法的效率更高。