南方科技大学知识苑(SUSTech KC): Neural Architecture Search as Multiobjective Optimization Benchmarks: Problem Formulation and Performance Assessment

Title	Neural Architecture Search as Multiobjective Optimization Benchmarks: Problem Formulation and Performance Assessment
Author	Zhichao Lu1 ; Ran Cheng1 ; Yaochu Jin 2; Kay Chen Tan 3; Kalyanmoy Deb 4
Publication Years	2022
DOI	10.1109/TEVC.2022.3233364
Source Title	IEEE Transactions on Evolutionary Computation Impact Factor & Quartile
ISSN	1941-0026
Volume	PP Issue:99Pages:1-1
Keywords	Evolutionary multi-objective optimization neural architecture search deep learning
URL	[Source Record]
SUSTech Authorship	First
Data Source	IEEE
PDF url	https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10004638
Citation statistics	Cited Times [WOS]:0
Document Type	Journal Article
Identifier	http://kc.sustech.edu.cn/handle/2SGJ60CL/420621
Department	Department of Computer Science and Engineering
Affiliation	1.Department of Computer Science and Engineering, Southern University of Science and Technology, Shenzhen, China 2.Department of Computer Science, University of Surrey, Guildford, U.K. 3.Department of Computing, The Hong Kong Polytechnic University, Hong Kong, Hong Kong 4.Department of Electrical and Computer Engineering, Michigan State University, East Lansing, MI, USA
First Author Affilication	Department of Computer Science and Engineering
First Author's First Affilication	Department of Computer Science and Engineering
Recommended Citation GB/T 7714	Zhichao Lu,Ran Cheng,Yaochu Jin,et al. Neural Architecture Search as Multiobjective Optimization Benchmarks: Problem Formulation and Performance Assessment[J]. IEEE Transactions on Evolutionary Computation,2022,PP(99):1-1.
APA	Zhichao Lu,Ran Cheng,Yaochu Jin,Kay Chen Tan,&Kalyanmoy Deb.(2022).Neural Architecture Search as Multiobjective Optimization Benchmarks: Problem Formulation and Performance Assessment.IEEE Transactions on Evolutionary Computation,PP(99),1-1.
MLA	Zhichao Lu,et al."Neural Architecture Search as Multiobjective Optimization Benchmarks: Problem Formulation and Performance Assessment".IEEE Transactions on Evolutionary Computation PP.99(2022):1-1.

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