Budgeted Uncertainty
Budgeted Uncertainty is a robust optimization framework that belongs to the class of uncertainty set formulations, distinguished by its restriction of the total number or magnitude of uncertain parameters that can simultaneously deviate from their nominal values within a predefined budget.
23
Publications
1.1K
Citations
67
Authors
57
Institutions
Publications per year
2017–2026
13
Parents
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Robust combinatorial optimization with variable budgeted uncertainty
Michaël Poss · 4OR · 2012 · 66 citations · Full text
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University of British Columbia, Okanagan Campus, Canada
2 publications · 150 citations
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Georgia Institute of Technology, United States
2 publications · 72 citations
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1–5 of 67
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Centre National de la Recherche Scientifique
Paris, France
4 h-index
6 publications
207 citations
Universidade Federal Fluminense
Niterói, Brazil
3 h-index
4 publications
113 citations
University of Kaiserslautern
Kaiserslautern, Germany
2 h-index
4 publications
61 citations

Université de Montpellier
Montpellier, France
2 h-index
3 publications
117 citations
Georgia Institute of Technology
Atlanta, United States
2 h-index
3 publications
113 citations
Laboratoire d'Informatique, de Robotique et de Microélectronique de Montpellier
Montpellier, France
2 h-index
3 publications
117 citations
HEC Montréal
Montreal, Canada
2 h-index
4 publications
300 citations

Université Toulouse III - Paul Sabatier
Toulouse, France
1 h-index
2 publications
24 citations
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3 publications · 59 citations
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2 publications · 164 citations
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2 publications · 72 citations
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2 publications · 117 citations
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1 publications · 34 citations
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