Dynamic Policy Selection for a Stochastic-Dynamic Knapsack Problem

Jeannette Anna Lena Hermanns (), Jan Brinkmann () and Dirk Christian Mattfeld ()
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Jeannette Anna Lena Hermanns: University of Braunschweig
Jan Brinkmann: University of Braunschweig
Dirk Christian Mattfeld: University of Braunschweig

A chapter in Operations Research Proceedings 2018, 2019, pp 319-327 from Springer

Abstract: Abstract In this work, we solve a stochastic-dynamic optimization problem by means of combining candidate policies. The combination is realized by a dynamic policy selection. We draw on a stochastic-dynamic knapsack problem to evaluate the dynamic policy selection. Our computational studies point out that the benefit compared to the individual usage of candidate policies is significant.

Date: 2019
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Persistent link: https://EconPapers.repec.org/RePEc:spr:oprchp:978-3-030-18500-8_40

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DOI: 10.1007/978-3-030-18500-8_40

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