New Sequence-Independent Lifting Techniques for Cutting Planes and When They Induce Facets

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Main Authors: Prasad, Siddharth, Vitercik, Ellen, Balcan, Maria-Florina, Sandholm, Tuomas
Format: Preprint
Published: 2024
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author Prasad, Siddharth
Vitercik, Ellen
Balcan, Maria-Florina
Sandholm, Tuomas
author_facet Prasad, Siddharth
Vitercik, Ellen
Balcan, Maria-Florina
Sandholm, Tuomas
contents Sequence-independent lifting is a procedure for strengthening valid inequalities of an integer program. We generalize the sequence-independent lifting method of Gu, Nemhauser, and Savelsbergh (GNS lifting) for cover inequalities and correct an error in their proposed generalization. We obtain a new sequence-independent lifting technique -- piecewise-constant (PC) lifting -- with a number of interesting properties. We derive a broad set of sufficient conditions under which PC lifting is facet defining. To our knowledge, this is the first characterization of facet-defining sequence-independent liftings that are efficiently computable from the underlying cover. Finally, we demonstrate via experiments that PC lifting can be a useful alternative to GNS lifting. We test our new lifting techniques atop a number of novel cover cut generation routines, which prove to be effective in experiments with CPLEX.
format Preprint
id arxiv_https___arxiv_org_abs_2401_13773
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle New Sequence-Independent Lifting Techniques for Cutting Planes and When They Induce Facets
Prasad, Siddharth
Vitercik, Ellen
Balcan, Maria-Florina
Sandholm, Tuomas
Optimization and Control
Discrete Mathematics
Data Structures and Algorithms
Sequence-independent lifting is a procedure for strengthening valid inequalities of an integer program. We generalize the sequence-independent lifting method of Gu, Nemhauser, and Savelsbergh (GNS lifting) for cover inequalities and correct an error in their proposed generalization. We obtain a new sequence-independent lifting technique -- piecewise-constant (PC) lifting -- with a number of interesting properties. We derive a broad set of sufficient conditions under which PC lifting is facet defining. To our knowledge, this is the first characterization of facet-defining sequence-independent liftings that are efficiently computable from the underlying cover. Finally, we demonstrate via experiments that PC lifting can be a useful alternative to GNS lifting. We test our new lifting techniques atop a number of novel cover cut generation routines, which prove to be effective in experiments with CPLEX.
title New Sequence-Independent Lifting Techniques for Cutting Planes and When They Induce Facets
topic Optimization and Control
Discrete Mathematics
Data Structures and Algorithms
url https://arxiv.org/abs/2401.13773