<mods:mods version="3.3" xsi:schemaLocation="http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-3.xsd" xmlns:mods="http://www.loc.gov/mods/v3" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"><mods:titleInfo><mods:title>Adaptive Design in Discrete Stochastic Optimization</mods:title></mods:titleInfo><mods:name type="personal"><mods:namePart type="given">G.C.</mods:namePart><mods:namePart type="family">Pflug</mods:namePart><mods:role><mods:roleTerm type="text">author</mods:roleTerm></mods:role></mods:name><mods:abstract>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.</mods:abstract><mods:originInfo><mods:dateIssued encoding="iso8601">1994-07</mods:dateIssued></mods:originInfo><mods:originInfo><mods:publisher>WP-94-059</mods:publisher></mods:originInfo><mods:genre>Monograph</mods:genre></mods:mods>