A REVIEW OF STATIC AND DYNAMIC OPTIMIZATION FOR RANKING AND SELECTION

We review static and dynamic optimization formulations for simulation allocation and selection procedures and revisit several sampling approaches under a single umbrella. We conduct some new simulation experiments to illustrate where the static optimization approach may be inadequate to capture the dynamic sampling decisions and show how many existing sampling procedures ignore certain important considerations.