Metamodel-assisted Optimization
Metamodel-Assisted Optimization is a surrogate-assisted optimization approach that employs a metamodel as an approximate fitness landscape to guide the search process, thereby reducing the computational burden associated with evaluating expensive objective functions.
249
Publications
20.3K
Citations
590
Authors
264
Institutions
Publications per year
2017–2026
92
249
Raymond H. Myers, Douglas C. Montgomery · IIE Transactions · 1996 · 3.8K citations
Technometrics · 2002 · 890 citations
1–5 of 249
590
National Technical University of Athens, Greece
12 publications · 272 citations
11
h-index
9
h-index
9
h-index
8
h-index
6
h-index
1–5 of 590
264

Huazhong University of Science and Technology
Wuhan, China
13 h-index
57 publications
2.3K citations
National Technical University of Athens
Athens, Greece
11 h-index
31 publications
673 citations

Centre National de la Recherche Scientifique
Paris, France
10 h-index
34 publications
886 citations

Beijing Institute of Technology
Beijing, China
9 h-index
31 publications
1.1K citations

Pennsylvania State University
State College, United States
8 h-index
12 publications
3.2K citations

Hunan University
Changsha, China
7 h-index
24 publications
795 citations
National University of Singapore
Singapore, Singapore
6 h-index
12 publications
1.4K citations

Ghent University
Ghent, Belgium
5 h-index
15 publications
694 citations
1–8 of 264
18 publications · 2.3K citations
15
h-index
15 publications · 555 citations
13
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10 publications · 2.3K citations
10
h-index
5 publications · 97 citations
5
h-index
5 publications · 1.5K citations
5
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1–5