Title | A Data-Driven Evolutionary Transfer Optimization for Expensive Problems in Dynamic Environments |
Author | |
Publication Years | 2023
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DOI | |
Source Title | |
ISSN | 1941-0026
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Volume | PPIssue:99Pages:1-1 |
Keywords | |
URL | [Source Record] |
SUSTech Authorship | Others
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ESI Research Field | COMPUTER SCIENCE
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Data Source | IEEE
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PDF url | https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10225543 |
Citation statistics |
Cited Times [WOS]:0
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Document Type | Journal Article |
Identifier | http://kc.sustech.edu.cn/handle/2SGJ60CL/559292 |
Department | Department of Computer Science and Engineering |
Affiliation | 1.University of Electronic Science and Technology of China, Chengdu, China 2.National Innovation Institute of Defence Technology, Beijing, China 3.Department of Computer Science and Engineering, Southern University of Science and Technology, Shenzhen, China |
Recommended Citation GB/T 7714 |
Ke Li,Renzhi Chen,Xin Yao. A Data-Driven Evolutionary Transfer Optimization for Expensive Problems in Dynamic Environments[J]. IEEE Transactions on Evolutionary Computation,2023,PP(99):1-1.
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APA |
Ke Li,Renzhi Chen,&Xin Yao.(2023).A Data-Driven Evolutionary Transfer Optimization for Expensive Problems in Dynamic Environments.IEEE Transactions on Evolutionary Computation,PP(99),1-1.
|
MLA |
Ke Li,et al."A Data-Driven Evolutionary Transfer Optimization for Expensive Problems in Dynamic Environments".IEEE Transactions on Evolutionary Computation PP.99(2023):1-1.
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