Adaptive Design in Discrete Stochastic Optimization
Georg Ch. Pflug · IIASA PURE (International Institute of Applied Systems Analysis) · 1994
We present adaptive assignment rules for the design of the necessary simulations when solving discrete stochastic optimization problems. The rules are constructed in such a way, that the expected size of confidence sets for the optimizer is as small as possible.