An exact method for constrained maximization of the conditional value-at-risk of a class of stochastic submodular functions

Hao Hsiang Wu, Simge Küçükyavuz*

*Corresponding author for this work

研究成果: Article同行評審

摘要

We consider a class of risk-averse submodular maximization problems (RASM) where the objective is the conditional value-at-risk (CVaR) of a random nondecreasing submodular function at a given risk level. We propose valid inequalities and an exact general method for solving RASM under the assumption that we have an efficient oracle that computes the CVaR of the random function. We demonstrate the proposed method on a stochastic set covering problem that admits an efficient CVaR oracle for the random coverage function.

原文English
頁(從 - 到)356-361
頁數6
期刊Operations Research Letters
48
發行號3
DOIs
出版狀態Published - 五月 2020

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