中文版 | English
Title

Objective Extraction for Simplifying Many-Objective Solution Sets

Author
Publication Years
2023
DOI
Source Title
ISSN
2471-285X
VolumePPIssue:99Pages:1-13
Keywords
URL[Source Record]
Indexed By
SUSTech Authorship
First
WOS Accession No
WOS:001051262600001
Data Source
IEEE
PDF urlhttps://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10223265
Citation statistics
Cited Times [WOS]:0
Document TypeJournal Article
Identifierhttp://kc.sustech.edu.cn/handle/2SGJ60CL/559280
DepartmentSchool of System Design and Intelligent Manufacturing
工学院_计算机科学与工程系
Affiliation
1.School of System Design and Intelligent Manufacturing, Southern University of Science and Technology, Shenzhen, China
2.School of System Design and Intelligent Manufacturing, Department of Computer Science and Engineering, Southern University of Science and Technology, Shenzhen, China
3.School of Mathematics and Statistics, Xi'an Jiaotong University, Xi'an, Shaanxi Province, China
4.Department of Computer Science, City University of Hong Kong, Hong Kong
First Author AffilicationSchool of System Design and Intelligent Manufacturing
First Author's First AffilicationSchool of System Design and Intelligent Manufacturing
Recommended Citation
GB/T 7714
Genghui Li,Zhenkun Wang,Jianyong Sun,et al. Objective Extraction for Simplifying Many-Objective Solution Sets[J]. IEEE Transactions on Emerging Topics in Computational Intelligence,2023,PP(99):1-13.
APA
Genghui Li,Zhenkun Wang,Jianyong Sun,&Qingfu Zhang.(2023).Objective Extraction for Simplifying Many-Objective Solution Sets.IEEE Transactions on Emerging Topics in Computational Intelligence,PP(99),1-13.
MLA
Genghui Li,et al."Objective Extraction for Simplifying Many-Objective Solution Sets".IEEE Transactions on Emerging Topics in Computational Intelligence PP.99(2023):1-13.
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