Title
Intersection Disjunctions for Reverse Convex Sets
Abstract
We present a framework to obtain valid inequalities for a reverse convex set: the set of points in a polyhedron that lie outside a given open convex set. Reverse convex sets arise in many models, including bilevel optimization and polynomial optimization. An intersection cut is a well-known valid inequality for a reverse convex set that is generated from a basic solution that lies within the convex set. We introduce a framework for deriving valid inequalities for the reverse convex set from basic solutions that lie outside the convex set. We first propose an extension to intersection cuts that defines a two-term disjunction for a reverse convex set, which we refer to as an intersection disjunction. Next, we generalize this analysis to a multiterm disjunction by considering the convex set's recession directions. These disjunctions can be used in a cut-generating linear program to obtain valid inequalities for the reverse convex set.
Year
DOI
Venue
2022
10.1287/moor.2021.1132
MATHEMATICS OF OPERATIONS RESEARCH
Keywords
DocType
Volume
mixed-integer nonlinear programming, valid inequalities, reverse convex sets, disjunctive programming, intersection cuts, concavity cuts
Journal
47
Issue
ISSN
Citations 
1
0364-765X
0
PageRank 
References 
Authors
0.34
15
2
Name
Order
Citations
PageRank
Eli Towle100.34
James Luedtke243925.95