Journal article
When Lift-and-Project Cuts Are Different
INFORMS journal on computing, Vol.32(3), pp.822-834
07/01/2020
DOI: 10.1287/ijoc.2019.0943
Abstract
In this paper, we present a method to determine if a lift-and-project cut for a mixed-integer linear program is irregular, in which case the cut is not equivalent to any intersection cut from the bases of the linear relaxation. This is an important question due to the intense research activity for the past decade on cuts from multiple rows of simplex tableau as well as on lift-and-project cuts from nonsplit disjunctions. Although it has been known for a while that lift-and-project cuts from split disjunctions are always equivalent to intersection cuts and consequently to such multirow cuts, it has been recently shown that there is a necessary and sufficient condition in the case of arbitrary disjunctions: a lift-andproject cut is regular if, and only if, it corresponds to a regular basic solution of the Cut Generating Linear Program (CGLP). This paper has four contributions. First, we state a result that simplifies the verification of regularity for basic CGLP solutions. Second, we provide a mixed-integer formulation that checks whether there is a regular CGLP solution for a given cut that is regular in a broader sense, which also encompasses irregular cuts that are implied by the regular cut closure. Third, we describe a numerical procedure based on such formulation that identifies irregular lift-and-project cuts. Finally, we use this method to evaluate how often lift-and-project cuts from simple t-branch split disjunctions are irregular, and thus not equivalent to multirow cuts, on 74 instances of the Mixed Integer Programming Library (MIPLIB) benchmarks.
Details
- Title: Subtitle
- When Lift-and-Project Cuts Are Different
- Creators
- Egon Balas - Carnegie Mellon UniversityThiago Serra - Bucknell University
- Resource Type
- Journal article
- Publication Details
- INFORMS journal on computing, Vol.32(3), pp.822-834
- DOI
- 10.1287/ijoc.2019.0943
- ISSN
- 1091-9856
- eISSN
- 1526-5528
- Publisher
- Informs
- Number of pages
- 13
- Grant note
- N00014-18-1-212 / Office of Naval Research CMMI1560828 / National Science Foundation; National Science Foundation (NSF)
- Language
- English
- Date published
- 07/01/2020
- Academic Unit
- Business Analytics
- Record Identifier
- 9984696752602771
Metrics
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