Adaptive Robust Optimization
Adaptive Robust Optimization is a mathematical optimization framework that iteratively adjusts decision policies in response to realized uncertainties, distinguishing itself from static robust optimization by incorporating adaptive responses to evolving information.
124
Publications
9.7K
Citations
320
Authors
172
Institutions
Publications per year
2017–2026
89
Parents
124
Adaptive Distributionally Robust Optimization
Dimitris Bertsimas, Melvyn Sim, Meilin Zhang · Management Science · 2018 · 329 citations
Multistage Adaptive Robust Optimization for the Unit Commitment Problem
Álvaro Lorca, Xu Andy Sun, Eugene Litvinov et al. · Operations Research · 2016 · 277 citations
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172

Cornell University
Ithaca, United States
8 h-index
18 publications
1.4K citations
Tsinghua University
Beijing, China
7 h-index
25 publications
3.3K citations

Southeast University
Nanjing, China
7 h-index
26 publications
1.8K citations
Georgia Institute of Technology
Atlanta, United States
7 h-index
12 publications
3.2K citations
Massachusetts Institute of Technology
Cambridge, United States
6 h-index
8 publications
2.3K citations
University of Castilla-La Mancha
Ciudad Real, Spain
6 h-index
14 publications
2K citations
The Ohio State University
Columbus, United States
4 h-index
6 publications
516 citations

University of Electronic Science and Technology of China
Chengdu, China
4 h-index
9 publications
456 citations
1–8 of 172
18 publications · 3.7K citations
15
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9 publications · 868 citations
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TSTE · 9 publications · 883 citations
9
h-index
6 publications · 292 citations
6
h-index
5 publications · 171 citations
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