Surrogate Model Management
Surrogate Model Management is a methodological framework within surrogate-based optimization that orchestrates the construction, updating, selection, and validation of surrogate models to balance computational efficiency and solution accuracy in iterative design processes.
44
Publications
2.9K
Citations
124
Authors
71
Institutions
Publications per year
2017–2026
26
Parents
44
1–5 of 44
124
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71

University of Surrey
Guildford, United Kingdom
3 h-index
6 publications
684 citations
Sandia National Laboratories
Albuquerque, United States
3 h-index
4 publications
495 citations
China University of Mining and Technology
Xuzhou, China
3 h-index
13 publications
472 citations
Bielefeld University
Bielefeld, Germany
3 h-index
3 publications
134 citations
Stanford University
Stanford, United States
3 h-index
6 publications
719 citations

Rice University
Houston, United States
3 h-index
4 publications
318 citations
Taiyuan University of Science and Technology
Taiyuan, China
2 h-index
4 publications
600 citations
Massachusetts Institute of Technology
Cambridge, United States
2 h-index
5 publications
672 citations
1–8 of 71
6 publications · 636 citations
6
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2 publications · 111 citations
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2 publications · 175 citations
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2 publications · 57 citations
2
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2 publications · 313 citations
2
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1–5