We develop a method for computing facet-defining valid inequalities for any mixed-integer set P J . Our practical implementation does not return only facetdefining inequalities, but it is able to find a separating cut whenever one exists. The separator is not comparable in speed with the specific cutting-plane generators used in branch-and-cut solvers, but it is general-purpose. We can thus use it to compute cuts derived from any reasonably small relaxation P J of a general mixedinteger problem, even when there exists no specific implementation for computing cuts with P J . Exploiting this, we evaluate, from a computational perspective, the usefulness of cuts derived from several types of multi-row relaxations. In particular, we present results with four different strengthenings of the two-row intersection cut model, and multi-row models with up to fifteen rows. We conclude that only fully-strengthened two-row cuts seem to offer a significant advantage over two-row intersection cuts. Our results also indicate that the improvement obtained by going from models with very few rows to models with up to fifteen rows may not be worth the increased computing cost.
OverviewIn the last years, there has been a renewed interest in the MIP research community for finding new ways to compute general-purpose cutting-planes. Specifically, one of the subjects of attention was the generation of so-called multi-row cutting-planes, i.e. inequalities that are valid for relaxations with multiple rows of the problem to be solved.In this paper, we aim at evaluating accurately the strength of the multi-row relaxations that are used to generate these cutting planes. To that end, we develop techniques to