4.6 Article

A new branch-and-cut algorithm for the capacitated vehicle routing problem

期刊

MATHEMATICAL PROGRAMMING
卷 100, 期 2, 页码 423-445

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SPRINGER HEIDELBERG
DOI: 10.1007/s10107-003-0481-8

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vehicle routing; branch-and-cut; separation

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We present a new branch-and-cut algorithm for the capacitated vehicle routing problem (CVRP). The algorithm uses a variety of cutting planes, including capacity, framed capacity, generalized capacity, strengthened comb, multistar, partial multistar, extended hypotour inequalities, and classical Gomory mixed-integer cuts. For each of these classes of inequalities we describe our separation algorithms in detail. Also we describe the other important ingredients of our branch-and-cut algorithm, such as the branching rules, the node selection strategy, and the cut pool management. Computational results, for a large number of instances, show that the new algorithm is competitive. In particular, we solve three instances (B-n50-k8, B-n66-k9 and B-n78-k10) of Augerat to optimality for the first time.

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