An experimental solution of the general stochastic programming problem

Abstract

After reviewing existing approaches to the general stochastic programming problem, an improved experi mental method is proposed. This method uses a va riety of mathematical programming algorithms and any desired pattern of parameter variation. Statistical analysis of the results allows decision-makers to make probabilistic statements about the values of the decision variables and of the objective function. Illustrative examples are given.