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Decomposition Branching for Mixed Integer Programming

Baris Yildiz (byildiz***at***ku.edu.tr)
Boland Natashia (natashia.boland***at***gmail.com)
Martin Savelsbergh (martin.savelsbergh***at***isye.gatech.edu)

Abstract: We introduce a novel and powerful approach for solving certain classes of mixed integer programs (MIPs): decomposition branching. Two seminal and widely used techniques for solving MIPs, branch-and-bound and decomposition, form its foundation. Computational experiments with instances of a weighted set covering problem and a regionalized p-median facility location problem with assignment range constraints demonstrate its efficacy: it explores far fewer nodes and can be orders of magnitude faster than a commercial solver.

Keywords:

Category 1: Integer Programming ((Mixed) Integer Linear Programming )

Citation:

Download: [PDF]

Entry Submitted: 08/30/2018
Entry Accepted: 08/30/2018
Entry Last Modified: 08/30/2018

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