Efficient Global Optimization is a sequential design strategy for global optimization of expensive black-box functions that combines Gaussian process modeling with an expected improvement criterion to balance exploration and exploitation in minimizing the number of function evaluations.
878
Publications
65.9K
Citations
2.3K
Authors
935
Institutions
Publications per year
2017–2026
330
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Ego
Publications
878
1–5 of 878
Authors
2.3K
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13
h-index
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10
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9
h-index
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8
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8
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1–5 of 2.3K
Institutions
935
Dalian University of Technology
Dalian, China
15 h-index
51 publications
3.9K citations
Centre National de la Recherche Scientifique
Paris, France
14 h-index
28 publications
970 citations
Zagazig University
Zagazig, Egypt
14 h-index
16 publications
1.2K citations
Cornell University
Ithaca, United States
13 h-index
41 publications
1.9K citations
University of Michigan
Ann Arbor, United States
12 h-index
22 publications
2.1K citations
Imperial College London
London, United Kingdom
12 h-index
23 publications
1.1K citations
University of Florida
Gainesville, United States
11 h-index
25 publications
2.1K citations
Sorbonne Université
Paris, France
11 h-index
18 publications
403 citations
1–8 of 935
Venues
- Journal of Global Optimization
37 publications · 2.2K citations
22
h-index
- Engineering Optimization
24 publications · 1.5K citations
18
h-index
- Computers & Chemical Engineering
18 publications · 2.4K citations
17
h-index
- Structural and Multidisciplinary Optimization
21 publications · 1.6K citations
16
h-index
- Soft Computing
16 publications · 486 citations
14
h-index
1–5