Interval Robust Optimization
Interval Robust Optimization is a robust optimization method that accounts for uncertainty in design parameters and constraints by modeling them as bounded intervals, thereby ensuring feasible and optimal solutions under all possible realizations within the specified interval bounds.
96
Publications
4.4K
Citations
269
Authors
136
Institutions
Publications per year
2017–2026
38
Variants
Interval-based Robust Optimization
Parents
96
Toward Cost-Efficient and Reliable Unit Commitment Under Uncertainty
Hrvoje Pandžić, Yury Dvorkin, Ting Qiu et al. · IEEE Transactions on Power Systems · 2015 · 155 citations
Seyed Amir Mansouri, Emad Nematbakhsh, Ahmad Rezaee Jordehi et al. · Applied Energy · 2023 · 142 citations
1–5 of 96
269
Dalle Molle Institute for Artificial Intelligence Research, Switzerland
7 publications · 576 citations
7
h-index
5
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5
h-index
Dalle Molle Institute for Artificial Intelligence Research, Switzerland
5 publications · 421 citations
5
h-index
4
h-index
1–5 of 269
136
Dalle Molle Institute for Artificial Intelligence Research
Lugano, Switzerland
7 h-index
15 publications
1.4K citations
University of Maryland, College Park
College Park, United States
5 h-index
14 publications
378 citations

North China Electric Power University
Beijing, China
5 h-index
16 publications
573 citations

Beihang University
Beijing, China
4 h-index
12 publications
616 citations

Shanghai Jiao Tong University
Shanghai, China
4 h-index
8 publications
302 citations

Zhejiang University
Hangzhou, China
4 h-index
17 publications
460 citations

Tarbiat Modares University
Tehran, Iran
3 h-index
7 publications
972 citations

Universidade do Porto
Porto, Portugal
3 h-index
3 publications
73 citations
1–8 of 136
5 publications · 137 citations
5
h-index
5 publications · 329 citations
5
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4 publications · 125 citations
4
h-index
3 publications · 47 citations
3
h-index
3 publications · 155 citations
3
h-index
1–5