Multiobjective Surrogate Optimization
Multiobjective Surrogate Optimization is a computational optimization paradigm that employs surrogate models to approximate multiple conflicting objective functions, thereby reducing the computational burden of evaluating expensive black-box functions in multiobjective decision-making problems.
268
Publications
10.4K
Citations
881
Authors
361
Institutions
Publications per year
2017–2026
166
Parents
268
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361

Huazhong University of Science and Technology
Wuhan, China
12 h-index
40 publications
1.6K citations

Northwestern Polytechnical University
Xi'an, China
7 h-index
32 publications
914 citations

Inha University
Incheon, South Korea
7 h-index
21 publications
595 citations
Dalian University of Technology
Dalian, China
6 h-index
16 publications
453 citations

Xidian University
Xi'an, China
5 h-index
12 publications
413 citations
Jilin University
Changchun, China
4 h-index
14 publications
351 citations

South China University of Technology
Guangzhou, China
4 h-index
11 publications
547 citations

University of Exeter
Exeter, United Kingdom
4 h-index
8 publications
425 citations
1–8 of 361
10 publications · 365 citations
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8 publications · 332 citations
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8 publications · 356 citations
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8 publications · 413 citations
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8 publications · 403 citations
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