Robust two-stage stochastic linear optimization with risk aversion

DOI10.1016/j.ejor.2016.06.017zbMath1394.90449OpenAlexW2468670678MaRDI QIDQ1752187

Xianqiang Yang

Publication date: 24 May 2018

Published in: European Journal of Operational Research (Search for Journal in Brave)

Full work available at URL: http://hdl.handle.net/20.500.11937/52343

zbMATH Keywords

stochastic programmingsemidefinite programmingrobust optimizationconditional value-at-riskuncertainty modeling

Mathematics Subject Classification ID

Related Items (13)

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Uses Software

• SDPT3

Cites Work

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• Two-stage stochastic linear programs with incomplete information on uncertainty
• A two-stage resource allocation model for lifeline systems quick response with vulnerability analysis
• Dynamic sampling algorithms for multi-stage stochastic programs with risk aversion
• The extrema of probability determined by generalized moments. I: Bounded random variables
• Computational aspects of minimizing conditional value-at-risk
• Handling CVaR objectives and constraints in two-stage stochastic models
• A two-stage stochastic programming model for transportation network protection
• Risk-averse two-stage stochastic programming with an application to disaster management
• Applying the minimax criterion in stochastic recourse programs
• Algorithms for the solution of stochastic dynamic minimax problems
• Recent advances in robust optimization: an overview
• Convergence analysis of stationary points in sample average approximation of stochastic programs with second order stochastic dominance constraints
• Convexity and decomposition of mean-risk stochastic programs
• Conditional value-at-risk in stochastic programs with mixed-integer recourse
• Coherent Measures of Risk
• On the Implementation and Usage of SDPT3 – A Matlab Software Package for Semidefinite-Quadratic-Linear Programming, Version 4.0
• Risk-Averse Two-Stage Stochastic Linear Programming: Modeling and Decomposition
• Distributionally Robust Optimization Under Moment Uncertainty with Application to Data-Driven Problems
• Models for Minimax Stochastic Linear Optimization Problems with Risk Aversion
• Bounds on the Expectation of a Convex Function of a Multivariate Random Variable
• A Variable-Complexity Norm Maximization Problem
• Note—The Single Facility Minimax Distance Problem Under Stochastic Location of Demand
• Introduction to Stochastic Programming
• Minimax analysis of stochastic problems
• The minimax approach to stochastic programming and an illustrative application
• Polyhedral Risk Measures in Stochastic Programming
• Convex Approximations of Chance Constrained Programs
• Second-Order Lower Bounds on the Expectation of a Convex Function

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