Integer and combinatorial optimization
Integer and combinatorial optimization
Mathematics of Operations Research
On Polyhedral Approximations of the Second-Order Cone
Mathematics of Operations Research
Robust Solutions to Uncertain Semidefinite Programs
SIAM Journal on Optimization
A Joint Location-Inventory Model
Transportation Science
Operations Research
Optimal Inequalities in Probability Theory: A Convex Optimization Approach
SIAM Journal on Optimization
Strong Formulations of Robust Mixed 0–1 Programming
Mathematical Programming: Series A and B
Convexity and decomposition of mean-risk stochastic programs
Mathematical Programming: Series A and B
Submodular function minimization
Mathematical Programming: Series A and B
Cuts for Conic Mixed-Integer Programming
IPCO '07 Proceedings of the 12th international conference on Integer Programming and Combinatorial Optimization
Robust linear optimization under general norms
Operations Research Letters
Approximation algorithms for reliable stochastic combinatorial optimization
APPROX/RANDOM'10 Proceedings of the 13th international conference on Approximation, and 14 the International conference on Randomization, and combinatorial optimization: algorithms and techniques
The submodular knapsack polytope
Discrete Optimization
A computational study for common network design in multi-commodity supply chains
Computers and Operations Research
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We study discrete optimization problems with a submodular mean-risk minimization objective. For 0-1 problems a linear characterization of the convex lower envelope is given. For mixed 0-1 problems we derive an exponential class of conic quadratic valid inequalities. We report computational experiments on risk-averse capital budgeting problems with uncertain returns.