Alternative Strategies for Using Intersection Cuts in Integer Programming.

Abstract

In a previous paper the author introduced a new cutting plane for integer programming, generated from the intersection of n halflines originating at the linear programming optimum (x bar), with the hypersphere S circumscribing a unit hypercube K containing (x bar) and having integer vertices. In this paper the author uses the hypersphere S as a starting point for generating a convex domain C larger than the one defined by S, and such that the boundary of C contains only the feasible integer points of S, while the infeasible ones are contained in the interior of C. This is achieved by generating a family of 'maximal convex extensions' Ci of the solid hypersphere S(+) defined by S, one for each problem constraint and for each face of K. The union of these extended hyperspheres Ci is nonconvex. The main result of the paper is that the convex hull C of this nonconvex set is a convex polytope whose interior contains no feasible vertex of K. Hence C can be used to generate intersection cuts that are obviously stronger than the ones considered earlier. (Author)

Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1970
Accession Number
AD0723194

Entities

People

  • Egon Balas

Organizations

  • Carnegie Mellon University

Tags

Communities of Interest

  • Air Platforms

DTIC Thesaurus Topics

  • Applied Mathematics
  • Boundaries
  • Computer Programming
  • Integer Programming
  • Interdisciplinary Science
  • Linear Programming
  • Mathematical Programming
  • Mathematics
  • Operations Research

Fields of Study

  • Mathematics

Readers

  • Graph Algorithms and Convex Optimization.
  • Operations Research