Scenario-based Robust Optimization
Scenario-Based Robust Optimization is a robust optimization approach that belongs to the class of methods addressing uncertainty through discrete scenario representations, distinguished by its reliance on a finite set of explicitly defined scenarios to model uncertain parameters and ensure solution feasibility across all realized scenarios.
148
Publications
11.6K
Citations
427
Authors
226
Institutions
Publications per year
2017–2026
84
Parents
148
1–5 of 148
427
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226

University of Tehran
Tehran, Iran
7 h-index
13 publications
433 citations
ETH Zurich
Zurich, Switzerland
5 h-index
8 publications
1.2K citations

Iran University of Science and Technology
Tehran, Iran
5 h-index
14 publications
360 citations

Zhejiang University
Hangzhou, China
4 h-index
8 publications
395 citations

Delft University of Technology
Delft, The Netherlands
4 h-index
6 publications
428 citations
University of Arizona
Tucson, United States
3 h-index
7 publications
252 citations
Tsinghua University
Beijing, China
3 h-index
6 publications
342 citations
École Polytechnique Fédérale de Lausanne
Lausanne, Switzerland
3 h-index
9 publications
385 citations
1–8 of 226
6 publications · 836 citations
7
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6 publications · 604 citations
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5 publications · 233 citations
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4 publications · 211 citations
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3 publications · 177 citations
3
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1–5