Multi-objective Optimization Under Uncertainty
Multi-Objective Optimization Under Uncertainty is a mathematical framework within optimization theory that involves the simultaneous minimization or maximization of multiple conflicting objectives subject to uncertain parameters or probabilistic constraints.
691
Publications
30.1K
Citations
2K
Authors
805
Institutions
Publications per year
2017–2026
385
691
1–5 of 691
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Tsinghua University
Beijing, China
12 h-index
13 publications
790 citations

Huazhong University of Science and Technology
Wuhan, China
10 h-index
10 publications
420 citations

North China Electric Power University
Beijing, China
9 h-index
9 publications
447 citations

Beijing Institute of Technology
Beijing, China
9 h-index
9 publications
365 citations
University of Maryland, College Park
College Park, United States
9 h-index
9 publications
280 citations
Indian Institute of Technology Kharagpur
Kharagpur, India
9 h-index
9 publications
194 citations

Iran University of Science and Technology
Tehran, Iran
8 h-index
8 publications
731 citations

Central South University
Changsha, China
8 h-index
8 publications
568 citations
1–8 of 805
30 publications · 1.5K citations
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23 publications · 1.2K citations
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20 publications · 648 citations
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17 publications · 851 citations
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18 publications · 410 citations
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