  Optimizing decision problems under uncertainty can be done using a variety of
solution methods. Soft computing and heuristic approaches tend to be powerful
for solving such problems. In this overview article, we survey Evolutionary
Optimization techniques to solve Stochastic Programming problems - both for the
single-stage and multi-stage case.
