Pareto Robust Optimization
Pareto Robust Optimization is a robust design optimization framework that identifies solutions on the Pareto frontier by simultaneously balancing multiple conflicting objectives under uncertainty, thereby differentiating itself from single-objective robust optimization approaches through its explicit treatment of trade-offs among performance criteria.
22
Publications
870
Citations
61
Authors
31
Institutions
Publications per year
2017–2026
7
Parents
22
Pareto Efficiency in Robust Optimization
Dan A. Iancu, Nikolaos Trichakis · Management Science · 2013 · 135 citations
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National Technical University of Athens, Greece
1 publications · 25 citations
1
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1
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1–5 of 61
31

Pennsylvania State University
State College, United States
2 h-index
4 publications
146 citations

University of Bielsko-Biała
Bielsko-Biala, Poland
1 h-index
1 publications
11 citations
Universiti Putra Malaysia
Seri Kembangan, Malaysia
1 h-index
4 publications
192 citations
University of Patras
Pátrai, Greece
1 h-index
1 publications
25 citations

Tilburg University
Tilburg, The Netherlands
1 h-index
2 publications
38 citations

Sharif University of Technology
Tehran, Iran
1 h-index
2 publications
80 citations
Idaho State University
Pocatello, United States
1 h-index
2 publications
20 citations
Technische Universität Berlin
Berlin, Germany
1 h-index
2 publications
184 citations
1–8 of 31
2 publications · 73 citations
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1 publications · 48 citations
1
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1 publications · 97 citations
1
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1 publications · 11 citations
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1 publications · 21 citations
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