Static Robust Optimization
Static Robust Optimization is a robust optimization approach that belongs to the class of static decision-making models, distinguished by its requirement for all decision variables to be determined prior to the realization of uncertain parameters, thereby committing to a single immutable solution under all possible uncertainty scenarios.
25
Publications
1.7K
Citations
74
Authors
31
Institutions
Publications per year
2017–2026
9
Parents
25
1–5 of 25
74
Massachusetts Institute of Technology, United States
4 publications · 408 citations
4
h-index
3
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3
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3
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3
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1–5 of 74
31
Massachusetts Institute of Technology
Cambridge, United States
4 h-index
6 publications
562 citations
Colorado State University
Fort Collins, United States
3 h-index
27 publications
1K citations

Tilburg University
Tilburg, The Netherlands
3 h-index
6 publications
504 citations
Columbia University
New York, United States
2 h-index
3 publications
183 citations
Technion – Israel Institute of Technology
Haifa, Israel
1 h-index
2 publications
442 citations
Institut Mines-Télécom
Palaiseau, France
1 h-index
1 publications
42 citations
Nanyang Technological University
Singapore, Singapore
1 h-index
2 publications
74 citations
Virginia Tech
Blacksburg, United States
1 h-index
5 publications
190 citations
1–8 of 31
3 publications · 325 citations
3
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2 publications · 124 citations
2
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2 publications · 154 citations
2
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2 publications · 136 citations
2
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1 publications · 105 citations
1
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1–5