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Note on a class of admission control policies for the stochastic knapsack problem

  • A.F. Gabor
  • , J.C.W. Ommeren, van

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Abstract

In this note we discuss a class of exponential penalty function policies recently proposed by Iyengar and Sigman for controlling a stochastic knapsack. These policies are based on the optimal solution of some related deterministic linear programs. By finding explicitly their optimal solution, we reinterpret the exponential penalty function policies and show that they belong to the class of threshold policies. This explains their good practical behavior, facilitates the comparison with the thinning policy, simplifies considerably their analysis and improves the bounds previously proposed.
Original languageEnglish
Title of host publicationAlgorithmic Aspects in Information and Management (Proceedings Second International Conference, AAIM'06, Hong Kong, June 20-22, 2006)
EditorsS.W. Cheng, C.K. Poon
Place of PublicationBerlin
PublisherSpringer
Pages207-219
ISBN (Print)3-540-35157-4
DOIs
Publication statusPublished - 2006

Publication series

NameLecture Notes in Computer Science
Volume4041
ISSN (Print)0302-9743

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