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Generalized Robust Optimization using the Notion of Set-Valued Probability. [PDF]
Torre D, Mendivil F, Rocca M.
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Multi-stage robust and multi-role integrated allocation of emergency resources for hazard-induced disasters. [PDF]
Wu X, Zou K, Kang W.
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Stochastic optimization framework for microgrid energy management integrating electric vehicles, renewable sources, and storage. [PDF]
Ali ZM, Mostafa MH.
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Optimizing vaccine allocation: a review of epidemiological models with behavioral adaptation. [PDF]
Gudeli R, Mangu K, Agarwal H.
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Adaptive Distributionally Robust Optimization
We develop a modular and tractable framework for solving an adaptive distributionally robust linear optimization problem, where we minimize the worst-case expected cost over an ambiguity set of probability distributions. The adaptive distributionally robust optimization framework caters for dynamic decision making, where decisions adapt to the ...
Dimitris Bertsimas +2 more
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Distributionally Robust Optimization
2021The robust optimization methodology that we have introduced so far is built on a fundamental modeling approach, that is based on set-theoretic, deterministic uncertainty models.
Xu Andy Sun, Antonio J. Conejo
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Distributionally Robust Optimization in Possibilistic Setting
2021 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2021In this paper a class of optimization problems with uncertain constraint coefficients is discussed. Namely, for each ill-known coefficient a possibility distribution, being a membership function of a fuzzy interval, is specified. In a possibilistic interpretation, the induced possibility distribution in the set of constraint coefficient realizations ...
Romain Guillaume +2 more
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Distributionally robust modeling of optimal control
Operations Research Letters, 2022zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Distributionally Robust Chance Constrained Geometric Optimization
Mathematics of Operations Research, 2022This paper discusses distributionally robust geometric programs with individual or joint chance constraints. Several groups of uncertainty sets are considered: uncertainty sets with first two order moments information; uncertainty sets with known first order or first two order moments information under nonnegative support; uncertainty sets constrained
Jia Liu 0066 +2 more
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