4.6 Article

THE WATERMELON ALGORITHM FOR THE BILEVEL INTEGER LINEAR PROGRAMMING PROBLEM

Journal

SIAM JOURNAL ON OPTIMIZATION
Volume 27, Issue 3, Pages 1403-1430

Publisher

SIAM PUBLICATIONS
DOI: 10.1137/15M1051592

Keywords

bilevel optimization; cutting plane; branch and bound

Funding

  1. National Science Foundation [EFRI-0835989]

Ask authors/readers for more resources

This paper presents an exact algorithm for the bilevel integer linear programming (BILP) problem. The proposed algorithm, which we call the watermelon algorithm, uses a multiway disjunction cut to remove bilevel infeasible solutions from the search space, which was motivated by how watermelon seeds can be carved out by a scoop. Serving as the scoop, a polyhedron is designed to enclose as many bilevel infeasible solutions as possible, and then the complement of this polyhedron is applied to the search space as a multiway disjunction cut in a branch-and-bound framework. We have proved that the watermelon algorithm is able to solve all BILP instances finitely and correctly, providing either a global optimal solution or a certificate of infeasibility or unboundedness. Computational experiment results on two sets of small-to medium-sized instances suggest that the watermelon algorithm could be significantly more efficient than previous branch-and-bound based BILP algorithms.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.6
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available