Cutting Planes for Multistage Stochastic Integer Programs
Yongpei Guan (),
Shabbir Ahmed () and
George L. Nemhauser ()
Additional contact information
Yongpei Guan: School of Industrial Engineering, University of Oklahoma, Norman, Oklahoma 73019
Shabbir Ahmed: H. Milton Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332
George L. Nemhauser: H. Milton Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332
Operations Research, 2009, vol. 57, issue 2, 287-298
Abstract:
This paper addresses the problem of finding cutting planes for multistage stochastic integer programs. We give a general method for generating cutting planes for multistage stochastic integer programs based on combining inequalities that are valid for the individual scenarios. We apply the method to generate cuts for a stochastic version of a dynamic knapsack problem and for stochastic lot-sizing problems. We give computational results, which show that these new inequalities are very effective in a branch-and-cut algorithm.
Keywords: programming; integer; cutting plane/facet; programming; stochastic; inventory/production; lot sizing; stochastic (search for similar items in EconPapers)
Date: 2009
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Citations: View citations in EconPapers (17)
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Persistent link: https://EconPapers.repec.org/RePEc:inm:oropre:v:57:y:2009:i:2:p:287-298
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