CASIA OpenIR
Improved NSGA-III with selection-and-elimination operator
Cui, Zhihua1; Chang, Yu1; Zhang, Jiangjiang1; Cai, Xingjuan1; Zhang, Wensheng2
Source PublicationSWARM AND EVOLUTIONARY COMPUTATION
ISSN2210-6502
2019-09-01
Volume49Pages:23-33
Corresponding AuthorCai, Xingjuan(cuizhihua@tyust.edu.cn)
AbstractA fast non-dominated sorting genetic algorithm based on reference-point strategy (NSGA-III) is a well-known many-objective optimization algorithm in which the reference-point strategy is incorporated to maintain population diversity. However, the convergence capability of NSGA-III is poor in many cases. In this paper, a new selection-and-elimination operator is designed to balance convergence and diversity. First, a selection operator is employed to identify the reference point with the minimum niche count, and then one individual with the shortest penalty-based boundary intersection distance is chosen. Second, a reference point with the maximum niche count is identified, and one individual with the longest penalty-based boundary intersection distance is removed by the elimination operator. To test performance, this modification is verified on benchmark problems with up to 15 objectives, and compared with five other state-of-the-art algorithms. Simulation results demonstrate that our modified strategy can achieve the better performance.
KeywordMany-objective optimization NSGA-III Reference-point strategy Selection operator Elimination operator
DOI10.1016/j.swevo.2019.05.011
WOS KeywordMANY-OBJECTIVE OPTIMIZATION ; EVOLUTIONARY ALGORITHM ; DECOMPOSITION ; CONVERGENCE ; DIVERSITY
Indexed BySCI
Language英语
Funding ProjectNational Natural Science Foundation of China[61806138] ; National Natural Science Foundation of China[61663028] ; Natural Science Foundation of Shanxi Province[201801D121127] ; PhD Research Startup Foundation of Taiyuan University of Science and Technology[20182002]
Funding OrganizationNational Natural Science Foundation of China ; Natural Science Foundation of Shanxi Province ; PhD Research Startup Foundation of Taiyuan University of Science and Technology
WOS Research AreaComputer Science
WOS SubjectComputer Science, Artificial Intelligence ; Computer Science, Theory & Methods
WOS IDWOS:000484871900002
PublisherELSEVIER
Citation statistics
Cited Times:15[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/27338
Collection中国科学院自动化研究所
Corresponding AuthorCai, Xingjuan
Affiliation1.Taiyuan Univ Sci & Technol, Complex Syst & Computat Intelligence Lab, Taiyuan 003024, Shanxi, Peoples R China
2.Chinese Acad Sci, State Key Lab Intelligent Control & Management Co, Inst Automat, Beijing 100190, Peoples R China
Recommended Citation
GB/T 7714
Cui, Zhihua,Chang, Yu,Zhang, Jiangjiang,et al. Improved NSGA-III with selection-and-elimination operator[J]. SWARM AND EVOLUTIONARY COMPUTATION,2019,49:23-33.
APA Cui, Zhihua,Chang, Yu,Zhang, Jiangjiang,Cai, Xingjuan,&Zhang, Wensheng.(2019).Improved NSGA-III with selection-and-elimination operator.SWARM AND EVOLUTIONARY COMPUTATION,49,23-33.
MLA Cui, Zhihua,et al."Improved NSGA-III with selection-and-elimination operator".SWARM AND EVOLUTIONARY COMPUTATION 49(2019):23-33.
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Cui, Zhihua]'s Articles
[Chang, Yu]'s Articles
[Zhang, Jiangjiang]'s Articles
Baidu academic
Similar articles in Baidu academic
[Cui, Zhihua]'s Articles
[Chang, Yu]'s Articles
[Zhang, Jiangjiang]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Cui, Zhihua]'s Articles
[Chang, Yu]'s Articles
[Zhang, Jiangjiang]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.