Robust Formulations
Robust Formulations is a class of optimization models in topology optimization that explicitly account for uncertainties in loading, geometry, or material properties by incorporating probabilistic, worst-case, or interval-based variations into the design formulation to ensure performance stability under perturbations.
442
Publications
30.1K
Citations
1K
Authors
471
Institutions
Publications per year
2017–2026
136
Parents
442
Aharon Ben‐Tal, Arkadi Nemirovski · Mathematics of Operations Research · 1998 · 2.6K citations
Robust Portfolio Selection Problems
Donald Goldfarb, Garud Iyengar · Mathematics of Operations Research · 2003 · 928 citations
1–5 of 442
1K
Massachusetts Institute of Technology, United States
7 publications · 744 citations
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7
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6
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6
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6
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1–5 of 1K
471

Beihang University
Beijing, China
14 h-index
45 publications
1.7K citations

Centre National de la Recherche Scientifique
Paris, France
13 h-index
25 publications
4.1K citations
Dalian University of Technology
Dalian, China
13 h-index
30 publications
3.1K citations
Massachusetts Institute of Technology
Cambridge, United States
12 h-index
26 publications
1.8K citations

UNSW Sydney
Sydney, Australia
11 h-index
29 publications
1.1K citations
Georgia Institute of Technology
Atlanta, United States
10 h-index
19 publications
870 citations

Hunan University
Changsha, China
8 h-index
17 publications
1.1K citations
Technion – Israel Institute of Technology
Haifa, Israel
7 h-index
10 publications
8.4K citations
1–8 of 471
38 publications · 3.9K citations
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26 publications · 4.7K citations
22
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15 publications · 579 citations
13
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14 publications · 2.5K citations
13
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15 publications · 479 citations
13
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