中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
A Line Complex-Based Evolutionary Algorithm for Many-Objective Optimization

文献类型:期刊论文

作者Liang Zhang; Qi Kang; Qi Deng; Luyuan Xu; Qidi Wu
刊名IEEE/CAA Journal of Automatica Sinica
出版日期2023
卷号10期号:5页码:1150-1167
ISSN号2329-9266
关键词Environmental selection line complex many-objective optimization problems (MaOPs) Plücker coordinate
DOI10.1109/JAS.2023.123495
英文摘要In solving many-objective optimization problems (MaOPs), existing nondominated sorting-based multi-objective evolutionary algorithms suffer from the fast loss of selection pressure. Most candidate solutions become nondominated during the evolutionary process, thus leading to the failure of producing offspring toward Pareto-optimal front with diversity. Can we find a more effective way to select nondominated solutions and resolve this issue? To answer this critical question, this work proposes to evolve solutions through line complex rather than solution points in Euclidean space. First, Plücker coordinates are used to project solution points to line complex composed of position vectors and momentum ones. Besides position vectors of the solution points, momentum vectors are used to extend the comparability of nondominated solutions and enhance selection pressure. Then, a new distance function designed for high-dimensional space is proposed to replace Euclidean distance as a more effective distance-based estimator. Based on them, a novel many-objective evolutionary algorithm (MaOEA) is proposed by integrating a line complex-based environmental selection strategy into the NSGA-III framework. The proposed algorithm is compared with the state of the art on widely used benchmark problems with up to 15 objectives. Experimental results demonstrate its superior competitiveness in solving MaOPs.
源URL[http://ir.ia.ac.cn/handle/173211/51552]  
专题自动化研究所_学术期刊_IEEE/CAA Journal of Automatica Sinica
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Liang Zhang,Qi Kang,Qi Deng,et al. A Line Complex-Based Evolutionary Algorithm for Many-Objective Optimization[J]. IEEE/CAA Journal of Automatica Sinica,2023,10(5):1150-1167.
APA Liang Zhang,Qi Kang,Qi Deng,Luyuan Xu,&Qidi Wu.(2023).A Line Complex-Based Evolutionary Algorithm for Many-Objective Optimization.IEEE/CAA Journal of Automatica Sinica,10(5),1150-1167.
MLA Liang Zhang,et al."A Line Complex-Based Evolutionary Algorithm for Many-Objective Optimization".IEEE/CAA Journal of Automatica Sinica 10.5(2023):1150-1167.

入库方式: OAI收割

来源:自动化研究所

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