Sparse Multi-term Disjunctive Cuts for the Epigraph of a Function of Binary Variables

被引:1
|
作者
Chen, Rui [1 ]
Luedtke, James [2 ]
机构
[1] Cornell Tech, New York, NY 10044 USA
[2] Univ Wisconsin, Madison, WI USA
关键词
Disjunctive cuts; Epigraph; Sparsity; Valid inequalities; LIFT-AND-PROJECT; STOCHASTIC INTEGER PROGRAMS; DECOMPOSITION ALGORITHMS; APPROXIMATIONS;
D O I
10.1007/978-3-031-06901-7_8
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
We propose a new method for generating cuts valid for the epigraph of a function of binary variables. The proposed cuts are disjunctive cuts defined by many disjunctive terms obtained by enumerating a subset I of the binary variables. We show that by restricting the support of the cut to the same set of variables I, a cut can be obtained by solving a linear program with 2(vertical bar I vertical bar) constraints. While this limits the size of the set I used to define the multi-term disjunction, the procedure enables generation of multi-term disjunctive cuts using far more terms than existing approaches. Experience on three MILP problems with block diagonal structure using vertical bar I vertical bar up to size 10 indicates the sparse cuts can often close nearly as much gap as the multi-term disjunctive cuts without this restriction and in a fraction of the time.
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页码:98 / 111
页数:14
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