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

成果类型:
Article
署名作者:
Modaresi, Sina; Kilinc, Mustafa R.; Vielma, Juan Pablo
署名单位:
Pennsylvania Commonwealth System of Higher Education (PCSHE); University of Pittsburgh; Carnegie Mellon University; Massachusetts Institute of Technology (MIT)
刊物名称:
MATHEMATICAL PROGRAMMING
ISSN/ISSBN:
0025-5610
DOI:
10.1007/s10107-015-0866-5
发表日期:
2016
页码:
575-611
关键词:
chvatal-gomory closure convex hulls split closure optimization relaxations progress
摘要:
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.