Intersection cuts for nonlinear integer programming: convexification techniques for structured sets

We study the generalization of split, k-branch split, and intersection cuts from mixed integer linear programming to the realm of mixed integer nonlinear programming. Constructing such cuts requires calculating the convex hull of the difference between a convex set and an open set with a simple geom...

Full description

Bibliographic Details
Main Authors: Modaresi, Sina, Kılınç, Mustafa R., Vielma Centeno, Juan Pablo
Other Authors: Sloan School of Management
Format: Article
Language:English
Published: Springer Berlin Heidelberg 2016
Online Access:http://hdl.handle.net/1721.1/103100
https://orcid.org/0000-0003-4335-7248
_version_ 1826189546572742656
author Modaresi, Sina
Kılınç, Mustafa R.
Vielma Centeno, Juan Pablo
author2 Sloan School of Management
author_facet Sloan School of Management
Modaresi, Sina
Kılınç, Mustafa R.
Vielma Centeno, Juan Pablo
author_sort Modaresi, Sina
collection MIT
description We study the generalization of split, k-branch split, and intersection cuts from mixed integer linear programming to the realm of mixed integer nonlinear programming. Constructing such cuts requires calculating the convex hull of the difference between a convex set and an open set with a simple geometric structure. We introduce two techniques to give precise characterizations of such convex hulls and use them to construct split, k-branch split, and intersection cuts for several classes of non-polyhedral sets. In particular, we give simple formulas for split cuts for essentially all convex sets described by a single conic quadratic inequality. We also give simple formulas for k-branch split cuts and some general intersection cuts for a wide variety of convex quadratic sets.
first_indexed 2024-09-23T08:16:35Z
format Article
id mit-1721.1/103100
institution Massachusetts Institute of Technology
language English
last_indexed 2024-09-23T08:16:35Z
publishDate 2016
publisher Springer Berlin Heidelberg
record_format dspace
spelling mit-1721.1/1031002022-09-30T08:48:11Z Intersection cuts for nonlinear integer programming: convexification techniques for structured sets Modaresi, Sina Kılınç, Mustafa R. Vielma Centeno, Juan Pablo Sloan School of Management Vielma Centeno, Juan Pablo We study the generalization of split, k-branch split, and intersection cuts from mixed integer linear programming to the realm of mixed integer nonlinear programming. Constructing such cuts requires calculating the convex hull of the difference between a convex set and an open set with a simple geometric structure. We introduce two techniques to give precise characterizations of such convex hulls and use them to construct split, k-branch split, and intersection cuts for several classes of non-polyhedral sets. In particular, we give simple formulas for split cuts for essentially all convex sets described by a single conic quadratic inequality. We also give simple formulas for k-branch split cuts and some general intersection cuts for a wide variety of convex quadratic sets. United States. Office of Naval Research (Grant N000141110724) National Science Foundation (U.S.) (Grant CMMI-1030662) 2016-06-14T14:55:27Z 2016-06-14T14:55:27Z 2015-02 2013-09 2016-05-23T12:11:23Z Article http://purl.org/eprint/type/JournalArticle 0025-5610 1436-4646 http://hdl.handle.net/1721.1/103100 Modaresi, Sina, Mustafa R. Kılınç, and Juan Pablo Vielma. “Intersection Cuts for Nonlinear Integer Programming: Convexification Techniques for Structured Sets.” Math. Program. 155, no. 1–2 (February 17, 2015): 575–611. https://orcid.org/0000-0003-4335-7248 en http://dx.doi.org/10.1007/s10107-015-0866-5 Mathematical Programming Creative Commons Attribution-Noncommercial-Share Alike http://creativecommons.org/licenses/by-nc-sa/4.0/ Springer-Verlag Berlin Heidelberg and Mathematical Optimization Society application/pdf Springer Berlin Heidelberg Springer Berlin Heidelberg
spellingShingle Modaresi, Sina
Kılınç, Mustafa R.
Vielma Centeno, Juan Pablo
Intersection cuts for nonlinear integer programming: convexification techniques for structured sets
title Intersection cuts for nonlinear integer programming: convexification techniques for structured sets
title_full Intersection cuts for nonlinear integer programming: convexification techniques for structured sets
title_fullStr Intersection cuts for nonlinear integer programming: convexification techniques for structured sets
title_full_unstemmed Intersection cuts for nonlinear integer programming: convexification techniques for structured sets
title_short Intersection cuts for nonlinear integer programming: convexification techniques for structured sets
title_sort intersection cuts for nonlinear integer programming convexification techniques for structured sets
url http://hdl.handle.net/1721.1/103100
https://orcid.org/0000-0003-4335-7248
work_keys_str_mv AT modaresisina intersectioncutsfornonlinearintegerprogrammingconvexificationtechniquesforstructuredsets
AT kılıncmustafar intersectioncutsfornonlinearintegerprogrammingconvexificationtechniquesforstructuredsets
AT vielmacentenojuanpablo intersectioncutsfornonlinearintegerprogrammingconvexificationtechniquesforstructuredsets