中文版 | English
Title

Enhancing Diversity by Local Subset Selection in Evolutionary Multiobjective Optimization

Author
Publication Years
2022
DOI
Source Title
ISSN
1941-0026
VolumePPIssue:99Pages:1-1
Keywords
URL[Source Record]
SUSTech Authorship
Others
Data Source
IEEE
PDF urlhttps://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9843885
Citation statistics
Cited Times [WOS]:0
Document TypeJournal Article
Identifierhttp://kc.sustech.edu.cn/handle/2SGJ60CL/375590
DepartmentDepartment of Computer Science and Engineering
Affiliation
1.Shanghai Institute of AI for Education, and the School of Computer Science and Technology, East China Normal University, Shanghai, China
2.Department of Computer Science and Engineering, Guangdong Key Laboratory of Brain-Inspired Intelligent Computation, Southern University of Science and Technology, Shenzhen, China
Recommended Citation
GB/T 7714
Zihan Wang,Bochao Mao,Hao Hao,et al. Enhancing Diversity by Local Subset Selection in Evolutionary Multiobjective Optimization[J]. IEEE Transactions on Evolutionary Computation,2022,PP(99):1-1.
APA
Zihan Wang,Bochao Mao,Hao Hao,Wenjing Hong,Chunyun Xiao,&Aimin Zhou.(2022).Enhancing Diversity by Local Subset Selection in Evolutionary Multiobjective Optimization.IEEE Transactions on Evolutionary Computation,PP(99),1-1.
MLA
Zihan Wang,et al."Enhancing Diversity by Local Subset Selection in Evolutionary Multiobjective Optimization".IEEE Transactions on Evolutionary Computation PP.99(2022):1-1.
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