Multiobjective Stochastic Programming
Multiobjective Stochastic Programming is a mathematical optimization framework that belongs to the class of stochastic programming models, distinguished by its simultaneous consideration of multiple conflicting objectives under uncertainty, where decision outcomes depend on random variables governed by known probability distributions.
100
Publications
5.9K
Citations
276
Authors
163
Institutions
Publications per year
2017–2026
37
100
1–5 of 100
276
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Amirkabir University of Technology, Iran
3 publications · 538 citations
3
h-index
3
h-index
1–5 of 276
163

Iran University of Science and Technology
Tehran, Iran
6 h-index
14 publications
2.3K citations
Institut Supérieur de Gestion de Tunis
Tunis, Tunisia
4 h-index
5 publications
621 citations

Universidad de Málaga
Málaga, Spain
4 h-index
12 publications
639 citations

Université Laval
Québec, Canada
3 h-index
4 publications
114 citations
Shiraz University of Technology
Shiraz, Iran
3 h-index
7 publications
2K citations

Semnan University
Semnan, Iran
3 h-index
5 publications
297 citations

American University of Sharjah
Sharjah, United Arab Emirates
3 h-index
3 publications
184 citations
Indian Institute of Technology Kharagpur
Kharagpur, India
3 h-index
8 publications
159 citations
1–8 of 163
12 publications · 884 citations
11
h-index
4 publications · 131 citations
4
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4 publications · 267 citations
4
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3 publications · 440 citations
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3 publications · 539 citations
3
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