Combining Lift-and-Project and Reduce-and-Split

نویسندگان

  • Egon Balas
  • Gérard Cornuéjols
  • Tamás Kis
  • Giacomo Nannicini
چکیده

Split cuts constitute a class of cutting planes that has been successfully employed by the majority of Branch-and-Cut solvers for Mixed Integer Linear Programs. Given a basis of the LP relaxation and a split disjunction, the corresponding split cut can be computed with a closed form expression. In this paper, we use the Lift-and-Project framework [10] to provide the basis, and the Reduce-andSplit algorithm [17] to compute the split disjunction. We propose a cut generation algorithm that starts from a Gomory Mixed Integer cut and alternates between Lift-and-Project and Reduce-and-Split in order to strengthen it. This paper has two main contributions. First, we extend the Balas and Perregaard procedure for strengthening cuts arising from split disjunctions involving one variable, to split disjunctions on multiple variables. Second, we apply the Reduce-and-Split algorithm to non-optimal bases of the LP relaxation. We provide detailed computational testing of the proposed methods.

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عنوان ژورنال:
  • INFORMS Journal on Computing

دوره 25  شماره 

صفحات  -

تاریخ انتشار 2013