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A branch-and-cut algorithm for Mixed-Integer Bilinear Programming
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DOI：10.1016/j.ejor.2019.09.043.png)
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Abstract
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In this paper, we consider the Mixed-Integer Bilinear Programming problem, a widely-used reformulation of the classical mixed-integer quadratic programming problem. For this problem we describe a branch and -cut algorithm for its exact solution, based on a new family of intersection cuts derived from bilinearspecific disjunctions. We also introduce a new branching rule that is specifically designed for bilinear problems. We computationally analyze the behavior of the proposed algorithm on a large set of mixed-integer quadratic instances from the MINLPIib problem library. Our results show that our method, even without intersection cuts, is competitive with a state-of-the-art mixed-integer nonlinear solver. As to intersection cuts, their extensive use at each branching node tends to slow down the solver for most problems in our test bed, but they are extremely effective for some specific instances. (C) 2019 Elsevier B.V. All rights reserved.
Keywords:
Combinatorial optimization
Mixed-integer quadratic programming
Bilinear programming
Branch-and-cut algorithms
Intersection cuts
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