Multi-objective Robust Optimization
Multi-Objective Robust Optimization is a mathematical optimization framework that integrates multiple conflicting objectives with uncertainty handling mechanisms, distinguishing itself from single-objective or deterministic optimization approaches by simultaneously seeking Pareto-optimal solutions that are insensitive to variations in uncertain parameters.
493
Publications
28.7K
Citations
1.5K
Authors
578
Institutions
Publications per year
2017–2026
281
Variants
Moro
493
1–5 of 493
1.5K
10
h-index
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578

Iran University of Science and Technology
Tehran, Iran
16 h-index
51 publications
4.3K citations

University of Tehran
Tehran, Iran
15 h-index
34 publications
1.9K citations

North China Electric Power University
Beijing, China
12 h-index
54 publications
3.9K citations
University of Maryland, College Park
College Park, United States
11 h-index
27 publications
1.5K citations

Hunan University
Changsha, China
9 h-index
29 publications
2K citations

Sharif University of Technology
Tehran, Iran
8 h-index
11 publications
1.1K citations
Tsinghua University
Beijing, China
7 h-index
12 publications
909 citations

Huazhong University of Science and Technology
Wuhan, China
7 h-index
26 publications
788 citations
1–8 of 578
15 publications · 752 citations
15
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14 publications · 2K citations
14
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16 publications · 977 citations
13
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14 publications · 751 citations
13
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13 publications · 956 citations
13
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