Improving strong branching by domain propagation

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چکیده

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Improving strong branching by domain propagation

One of the essential components of a branch-and-bound based mixed-integer linear programming (MIP) solver is the branching rule. Strong branching is a method used by many state-of-the-art branching rules to select the variable to branch on. It precomputes the dual bounds of potential child nodes by solving auxiliary linear programs (LPs) and thereby helps to take good branching decisions that l...

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Strong branching is an important component of most variable selection rules in branchand-bound based mixed-integer linear programming solvers. It predicts the dual bounds of potential child nodes by solving auxiliary LPs and thereby helps to keep the branchand-bound tree small. In this paper, we describe how these dual bound predictions can be improved by including domain propagation into stron...

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ژورنال

عنوان ژورنال: EURO Journal on Computational Optimization

سال: 2014

ISSN: 2192-4406,2192-4414

DOI: 10.1007/s13675-014-0021-8