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Journal Article

Citation

Verbeeck C, Vansteenwegen P, Aghezzaf EH. Transp. Res. E Logist. Transp. Rev. 2014; 68: 64-78.

Copyright

(Copyright © 2014, Elsevier Publishing)

DOI

10.1016/j.tre.2014.05.006

PMID

unavailable

Abstract

The cycle trip planning problem (CTPP) can be formulated as a variant of the arc orienteering problem (AOP), which is a well-known combinatorial optimisation problem. The CTPP aims at finding a route with the highest possible score, in a directed graph, among those having a total length that does not exceed some given upper bound. The contributions of this paper are a new mathematical programming model for the CTPP and two solution methods for its solution. The first is a branch-and-cut approach that is able to solve small problem instances to optimality and the second is a metaheuristic that solves CTPP and AOP instances of realistic size to near optimality in a few seconds.

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