Adjustable robust solutions of uncertain linear programs
Mathematical Programming: Series A and B
Mathematics of Operations Research
Optimization of Convex Risk Functions
Mathematics of Operations Research
Mathematics of Operations Research
Retailer-Supplier Flexible Commitments Contracts: A Robust Optimization Approach
Manufacturing & Service Operations Management
Robust Control of Markov Decision Processes with Uncertain Transition Matrices
Operations Research
A Robust Optimization Approach to Inventory Theory
Operations Research
Risk-averse dynamic programming for Markov decision processes
Mathematical Programming: Series A and B - 20th International Symposium on Mathematical Programming – ISMP 2009
Hi-index | 0.00 |
In this paper we consider the adjustable robust approach to multistage optimization, for which we derive dynamic programming equations. We also discuss this from the point of view of risk averse stochastic programming. We consider as an example a robust formulation of the classical inventory model and show that, like for the risk neutral case, a basestock policy is optimal.