Multi-Objective Stochastic Optimization is a formal framework within multi-objective optimization that addresses decision-making problems involving multiple conflicting objectives under uncertainty, where randomness in objective functions, constraints, or parameters is explicitly modeled and optimized probabilistically.
496
Publications
25.2K
Citations
1.5K
Authors
589
Institutions
Publications per year
2017–2026
271
Parents
Publications
496
1–5 of 496
Authors
1.5K
- TN
6
h-index
- FJ
6
h-index
- SK
5
h-index
- RT
5
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- AB
5
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1–5 of 1.5K
Institutions
589
Iran University of Science and Technology
Tehran, Iran
15 h-index
38 publications
3.9K citations
University of Tehran
Tehran, Iran
15 h-index
46 publications
2K citations
Amirkabir University of Technology
Tehran, Iran
9 h-index
20 publications
1.1K citations
North China Electric Power University
Beijing, China
8 h-index
27 publications
1.7K citations
National University of Singapore
Singapore, Singapore
8 h-index
20 publications
681 citations
Tsinghua University
Beijing, China
8 h-index
15 publications
478 citations
University of Tabriz
Tabriz, Iran
7 h-index
17 publications
1.3K citations
Purdue University West Lafayette
West Lafayette, United States
6 h-index
15 publications
283 citations
1–8 of 589
Venues
- European Journal of Operational Research
19 publications · 1.7K citations
17
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- Energy
15 publications · 1.3K citations
15
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- International Journal of Electrical Power & Energy Systems
16 publications · 1.1K citations
15
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- Journal of Cleaner Production
14 publications · 1.1K citations
14
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- Computers & Industrial Engineering
12 publications · 390 citations
12
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1–5