Adaptive Design in Discrete Stochastic Optimization

Pflug, G.C. ORCID: (1994). Adaptive Design in Discrete Stochastic Optimization. IIASA Working Paper. IIASA, Laxenburg, Austria: WP-94-059

[thumbnail of WP-94-059.pdf]

Download (354kB) | Preview


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.

Item Type: Monograph (IIASA Working Paper)
Research Programs: Optimization under Uncertainty (OPT)
Depositing User: IIASA Import
Date Deposited: 15 Jan 2016 02:04
Last Modified: 27 Aug 2021 17:14

Actions (login required)

View Item View Item