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Solving two-stage stochastic linear program based set cover

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

Abstract

This paper formalizes the Two-stage recourse model and focuses on a stochastic generalization of the ordinary set cover problem to illustrate our technique for solving Two-stage stochastic linear programs. The integrality constraints can be relaxed to yield a linear program. We give a compact formulation where only have the stage-1 variables and explain the basic idea by considering the Two-stage stochastic set cover problem(SSC) and its formulation given by (SSC-P2). Furthermore, theorem forms for tacking various Two-stage stochastic optimization problem be presented.

Original languageEnglish
Title of host publicationProceedings of the 2006 International Conference on Machine Learning and Cybernetics
Pages1543-1546
Number of pages4
DOIs
StatePublished - 2006
Event2006 International Conference on Machine Learning and Cybernetics - Dalian, China
Duration: 13 Aug 200616 Aug 2006

Publication series

NameProceedings of the 2006 International Conference on Machine Learning and Cybernetics
Volume2006

Conference

Conference2006 International Conference on Machine Learning and Cybernetics
Country/TerritoryChina
CityDalian
Period13/08/0616/08/06

Keywords

  • Clustering
  • Set cover
  • Stochastic linear program

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