Stochastic programming problems appear as mathematical models for optimization problems under stochastic uncertainty. Most computational approaches for solving such models are base...
The commonly used flaw hypothesis model (FHM) for performing penetration tests provides only limited, highlevel guidance for the derivation of actual penetration attempts. In thi...
To model combinatorial decision problems involving uncertainty and probability, we introduce scenario based stochastic constraint programming. Stochastic constraint programs conta...
Within the framework of multi-stage mixed-integer linear stochastic programming we develop a short-term production plan for a price-taking hydropower plant operating under uncerta...
This paper addresses a multi-stage stochastic integer programming formulation of the uncapacitated lot-sizing problem under uncertainty. We show that the classical ( , S) inequalit...
Yongpei Guan, Shabbir Ahmed, George L. Nemhauser, ...