Kriging-based Response Surfaces
Kriging-Based Response Surfaces is a response surface modeling technique that employs Kriging interpolation—a geostatistical method rooted in Gaussian process regression—to construct surrogate models capable of capturing complex, non-linear relationships between input variables and response outputs while explicitly accounting for spatial correlation among data points.
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8.2K
Citations
286
Authors
137
Institutions
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2017–2026
31
Variants
Kriging-based Response Surface Methodology
Parents
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Comparison of response surface and kriging models for multidisciplinary design optimization
Timothy W. Simpson, Farrokh Mistree, John J. Korte et al. · 7th AIAA/USAF/NASA/ISSMO Symposium on Multidisciplinary Analysis and Optimization · 1998 · 487 citations · Full text
Engineering, Computational Engineering, Mechanical Engineering +15
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Rutgers, The State University of New Jersey, United States
5 publications · 287 citations
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Rutgers, The State University of New Jersey
New Brunswick, United States
5 h-index
12 publications
648 citations

Northwestern Polytechnical University
Xi'an, China
4 h-index
11 publications
953 citations

Pennsylvania State University
State College, United States
4 h-index
10 publications
1.8K citations

Centre National de la Recherche Scientifique
Paris, France
4 h-index
6 publications
148 citations

Langley Research Center
Hampton, United States
4 h-index
5 publications
2.6K citations

Tilburg University
Tilburg, The Netherlands
4 h-index
7 publications
730 citations
Georgia Institute of Technology
Atlanta, United States
4 h-index
8 publications
2.1K citations
Northwestern University
Evanston, United States
4 h-index
9 publications
292 citations
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5 publications · 1.6K citations
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4 publications · 297 citations
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3 publications · 195 citations
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2 publications · 126 citations
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2 publications · 214 citations
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