Pareto Robustness
Pareto Robustness is a decision-making criterion that identifies solutions remaining robust across all objectives in a multi-objective optimization problem when no alternative can improve one objective without degrading another under pervasive uncertainty.
8
Publications
831
Citations
18
Authors
12
Institutions
Publications per year
2017–2026
1
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8
On The Robustness of Majority Rule
Partha Dasgupta, Eric Maskin · Journal of the European Economic Association · 2008 · 227 citations · Full text
Pareto Efficiency in Robust Optimization
Dan A. Iancu, Nikolaos Trichakis · Management Science · 2013 · 135 citations
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Sharif University of Technology
Tehran, Iran
1 h-index
2 publications
80 citations

City University of Hong Kong
Hong Kong, Hong Kong
1 h-index
1 publications
285 citations
RaySearch Laboratories (Sweden)
Stockholm, Sweden
1 h-index
2 publications
134 citations

Paderborn University
Paderborn, Germany
1 h-index
2 publications
46 citations

National University of Defense Technology
Changsha, China
1 h-index
2 publications
570 citations

Shanghai Jiao Tong University
Shanghai, China
1 h-index
3 publications
111 citations
City University of Hong Kong, Shenzhen Research Institute
Shenzhen, China
1 h-index
1 publications
285 citations
University of Cambridge
Cambridge, United Kingdom
1 h-index
1 publications
227 citations
1–8 of 12
1 publications · 67 citations
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JEEA · 1 publications · 227 citations
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1 publications · 37 citations
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1 publications · 285 citations
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IJCSM · 1 publications · 23 citations
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