Sequential Surrogate Optimization
Sequential Surrogate Optimization is a surrogate-based optimization paradigm in which the acquisition of new sample points and the refinement of the surrogate model occur iteratively in a sequential manner, distinguished from batch or parallel approaches by its strict emphasis on one-at-a-time evaluation decisions guided by infill criteria.
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2017–2026
14
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Sequential Surrogate-based Optimization
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Ivan Voutchkov, Andy J. Keane, Atul Bhaskar et al. · Computer Methods in Applied Mechanics and Engineering · 2005 · 63 citations · Full text
Natural Sciences, Industrial Engineering, Manufacturing Engineering +15
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Northwestern Polytechnical University
Xi'an, China
3 h-index
12 publications
723 citations

Huazhong University of Science and Technology
Wuhan, China
3 h-index
6 publications
195 citations
Sandia National Laboratories
Albuquerque, United States
2 h-index
6 publications
340 citations

Technische Universität Darmstadt
Darmstadt, Germany
2 h-index
8 publications
337 citations
Universitat Politècnica de Catalunya
Barcelona, Spain
2 h-index
3 publications
92 citations
Gdańsk University of Technology
Gdansk, Poland
1 h-index
2 publications
44 citations

Ghent University
Ghent, Belgium
1 h-index
5 publications
690 citations

University of Minnesota
Minneapolis, United States
1 h-index
4 publications
216 citations
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3 publications · 79 citations
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1 publications · 138 citations
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1 publications · 94 citations
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1 publications · 77 citations
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1 publications · 63 citations
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