Multiobjective Optimization Under Uncertainty is a mathematical framework within multi-criteria optimization that systematically addresses decision-making problems involving multiple conflicting objectives subject to uncertain parameters, stochastic environments, or incomplete information, distinguishing itself by integrating uncertainty quantification and robustness, reliability, or probabilistic performance measures directly into the optimization process.
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Multi-objective Optimization Under Uncertainty
Publications
434
Azadeh Kamjoo, Alireza Maheri, Arash M. Dizqah et al. · International Journal of Electrical Power & Energy Systems · 2015 · 236 citations · Full text
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UNSW Sydney
Sydney, Australia
11 h-index
11 publications
465 citations
University of Maryland, College Park
College Park, United States
9 h-index
9 publications
358 citations
Purdue University West Lafayette
West Lafayette, United States
9 h-index
9 publications
294 citations
Air Force Engineering University
Xi'an, China
7 h-index
7 publications
185 citations
University of Tehran
Tehran, Iran
7 h-index
7 publications
405 citations
Sichuan University
Chengdu, China
7 h-index
7 publications
302 citations
University of Exeter
Exeter, United Kingdom
6 h-index
6 publications
329 citations
University of Göttingen
Göttingen, Germany
6 h-index
6 publications
292 citations
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26 publications · 1.5K citations
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- IEEE Transactions on Evolutionary Computation
14 publications · 739 citations
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- Journal of Mechanical Design
10 publications · 518 citations
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- Structural and Multidisciplinary Optimization
10 publications · 445 citations
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- Industrial & Engineering Chemistry Research
9 publications · 208 citations
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