On a stochastic sequencing and scheduling problem
Computers and Operations Research
Risk-Averse Two-Stage Stochastic Linear Programming: Modeling and Decomposition
Operations Research
Estimating the efficient frontier of a probabilistic bicriteria model
Winter Simulation Conference
Risk Averse Shape Optimization
SIAM Journal on Control and Optimization
A branch-and-cluster coordination scheme for selecting prison facility sites under uncertainty
Computers and Operations Research
Convex Approximations of a Probabilistic Bicriteria Model with Disruptions
INFORMS Journal on Computing
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We consider linear two-stage stochastic programs with mixed-integer recourse. Instead of basing the selection of an optimal first-stage solution on expected costs alone, we include into the objective a risk term reflecting the probability that a preselected cost threshold is exceeded. After we have put the resulting mean-risk model into perspective with stochastic dominance, we study further structural properties of the model and derive some basic stability results. In the algorithmic part of the paper, we propose a scenario decomposition method and report initial computational experience.