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• W2914795654 abstract "This paper introduces a new algorithmic scheme for two-stage stochastic mixed-integer programming assuming a risk averse decision maker. The focus is the minimization of the conditional value at risk for a hard combinatorial optimization problem. Some properties of a mixed-integer non-linear programming formulation for conditional value at risk are studied as well as their algorithmic implications. This yields to a procedure for obtaining lower and upper bounds on the optimal value of the problem that may lead to an optimal solution. The new developments are applied to a fixed-charge transportation problem with stochastic demand, and they are computationally tested. The corresponding results are thoroughly presented and discussed." @default.
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• W2914795654 date "2019-08-01" @default.
• W2914795654 modified "2023-10-13" @default.
• W2914795654 title "New algorithmic framework for conditional value at risk: Application to stochastic fixed-charge transportation" @default.
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• W2914795654 doi "https://doi.org/10.1016/j.ejor.2019.02.010" @default.
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