An analysis of mixed integer linear sets based on lattice point free convex sets
Kent Andersen, Quentin Louveaux, Robert Weismantel

TL;DR
This paper explores the use of lattice point free convex sets with varying width sizes to generate cutting planes for mixed integer linear programs, extending beyond traditional split cuts to achieve polyhedral relaxations.
Contribution
It introduces a general framework for using lattice point free polyhedra of arbitrary width to derive valid cuts, and characterizes the minimal width needed for finite cutting plane proofs.
Findings
The $w$-th split closure is a polyhedron.
A sufficient condition is provided for adding rational inequalities to maintain polyhedrality.
Characterization of the minimal width $w^*$ needed for finite proofs.
Abstract
Split cuts are cutting planes for mixed integer programs whose validity is derived from maximal lattice point free polyhedra of the form called split sets. The set obtained by adding all split cuts is called the split closure, and the split closure is known to be a polyhedron. A split set has max-facet-width equal to one in the sense that . In this paper we consider using general lattice point free rational polyhedra to derive valid cuts for mixed integer linear sets. We say that lattice point free polyhedra with max-facet-width equal to have width size . A split cut of width size is then a valid inequality whose validity follows from a lattice point free rational polyhedron of width size . The -th split closure is the set obtained by adding all valid…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsGraph Labeling and Dimension Problems · Computational Geometry and Mesh Generation · Advanced Optimization Algorithms Research
