南方科技大学知识苑(SUSTech KC): HV-Net: Hypervolume Approximation based on DeepSets

Title	HV-Net: Hypervolume Approximation based on DeepSets
Author	Ke Shang1 ; Weiyu Chen 2; Weiduo Liao1 ; Hisao Ishibuchi1
Publication Years	2022
DOI	10.1109/TEVC.2022.3181306
Source Title	IEEE Transactions on Evolutionary Computation Impact Factor & Quartile
ISSN	1941-0026
Volume	PP Issue:99Pages:1-1
Keywords	Hypervolume Indicator Approximation Evolutionary Multi-objective Optimization DeepSets
URL	[Source Record]
Indexed By	SCI ; EI
Language	English
SUSTech Authorship	First
EI Accession Number	20222412226884
EI Keywords	Approximation Algorithms ; Approximation Theory ; Deep Neural Networks ; Multiobjective Optimization
ESI Classification Code	Ergonomics And Human Factors Engineering:461.4 ; Mathematics:921 ; Optimization Techniques:921.5 ; Numerical Methods:921.6
Data Source	IEEE
PDF url	https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9790869
Citation statistics	Cited Times [WOS]:0
Document Type	Journal Article
Identifier	http://kc.sustech.edu.cn/handle/2SGJ60CL/347869
Department	Research Institute of Trustworthy Autonomous Systems
Affiliation	1.Research Institute of Trustworthy Autonomous Systems, Southern University of Science and Technology, Shenzhen, China 2.Department of Computer Science and Engineering, The Hong Kong University of Science and Technology, Hong Kong, China
First Author Affilication	Research Institute of Trustworthy Autonomous Systems
First Author's First Affilication	Research Institute of Trustworthy Autonomous Systems
Recommended Citation GB/T 7714	Ke Shang,Weiyu Chen,Weiduo Liao,et al. HV-Net: Hypervolume Approximation based on DeepSets[J]. IEEE Transactions on Evolutionary Computation,2022,PP(99):1-1.
APA	Ke Shang,Weiyu Chen,Weiduo Liao,&Hisao Ishibuchi.(2022).HV-Net: Hypervolume Approximation based on DeepSets.IEEE Transactions on Evolutionary Computation,PP(99),1-1.
MLA	Ke Shang,et al."HV-Net: Hypervolume Approximation based on DeepSets".IEEE Transactions on Evolutionary Computation PP.99(2022):1-1.

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