Multistage Robust Optimization
Multistage Robust Optimization is a decision-making framework within robust optimization that, unlike single-stage counterparts, sequentially adapts to uncertain parameters revealed over multiple stages while guaranteeing feasibility for all realizations within a predefined uncertainty set.
119
Publications
9.7K
Citations
255
Authors
135
Institutions
Publications per year
2017–2026
80
Variants
Multi-stage Robust Optimization
Parents
119
Multistage Adaptive Robust Optimization for the Unit Commitment Problem
Álvaro Lorca, Xu Andy Sun, Eugene Litvinov et al. · Operations Research · 2016 · 277 citations
1–5 of 119
255
Massachusetts Institute of Technology, United States
10 publications · 3.3K citations
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4
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4
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3
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3
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1–5 of 255
135
Massachusetts Institute of Technology
Cambridge, United States
10 h-index
17 publications
4.1K citations

Imperial College London
London, United Kingdom
6 h-index
9 publications
620 citations

North China Electric Power University
Beijing, China
6 h-index
24 publications
2K citations
Georgia Institute of Technology
Atlanta, United States
5 h-index
7 publications
712 citations

Southeast University
Nanjing, China
5 h-index
20 publications
736 citations
Carnegie Mellon University
Pittsburgh, United States
5 h-index
9 publications
533 citations

Cornell University
Ithaca, United States
4 h-index
7 publications
457 citations
Tsinghua University
Beijing, China
4 h-index
13 publications
413 citations
1–8 of 135
11 publications · 1.1K citations
11
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7 publications · 445 citations
9
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4 publications · 267 citations
5
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4 publications · 103 citations
5
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4 publications · 243 citations
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