Surrogate-assisted Evolutionary Algorithms
Surrogate-Assisted Evolutionary Algorithm is a computational optimization method that belongs to the class of evolutionary algorithms, distinguished by its use of surrogate models to approximate fitness evaluations and thereby reduce the computational cost of solving complex, expensive optimization problems.
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24.7K
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825
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337
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2017–2026
269
Variants
Surrogate-assisted Evolutionary Algorithm
Parents
383
Generalizing Surrogate-Assisted Evolutionary Computation
Dudy Lim, Yaochu Jin, Yew-Soon Ong et al. · IEEE Transactions on Evolutionary Computation · 2009 · 482 citations · Full text
Computing, Mathematics, Algorithms +12
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337

University of Surrey
Guildford, United Kingdom
29 h-index
57 publications
7.6K citations

Xidian University
Xi'an, China
19 h-index
37 publications
2.2K citations

Huazhong University of Science and Technology
Wuhan, China
18 h-index
71 publications
4.1K citations

Northeastern University
Shenyang, China
17 h-index
46 publications
4.9K citations

Southern University of Science and Technology
Shenzhen, China
17 h-index
41 publications
2K citations
Nanyang Technological University
Singapore, Singapore
15 h-index
34 publications
4.1K citations

UNSW Sydney
Sydney, Australia
14 h-index
39 publications
1.5K citations
Bielefeld University
Bielefeld, Germany
14 h-index
15 publications
553 citations
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52 publications · 7K citations
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18 publications · 2K citations
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17 publications · 1.1K citations
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20 publications · 828 citations
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15 publications · 1.9K citations
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