Stochastic Multi-criteria Optimization
Stochastic Multi-Criteria Optimization is a decision-making framework that belongs to the class of multi-criteria optimization methods, distinguished by its explicit incorporation of uncertainty in the criteria outcomes through probabilistic or stochastic modeling to identify solutions robust to random variations in the input parameters.
83
Publications
3.3K
Citations
275
Authors
168
Institutions
Publications per year
2017–2026
34
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Smco
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168

Hohai University
Nanjing, China
4 h-index
19 publications
642 citations

North China Electric Power University
Beijing, China
3 h-index
16 publications
1.6K citations
Georgia Institute of Technology
Atlanta, United States
3 h-index
7 publications
116 citations

University of Turku
Turku, Finland
3 h-index
5 publications
413 citations
State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering
Nanjing, China
3 h-index
4 publications
147 citations

Universidad de Cantabria
Santander, Spain
3 h-index
8 publications
510 citations

University of Warwick
Coventry, United Kingdom
3 h-index
7 publications
178 citations

Gazi University
Ankara, Turkey
3 h-index
5 publications
91 citations
1–8 of 168
4 publications · 297 citations
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MPE · 3 publications · 148 citations
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3 publications · 228 citations
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3 publications · 79 citations
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3 publications · 115 citations
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