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An Effective Evolutionary Algorithm for the Cumulative Capacitated Vehicle Routing Problem

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Applications of Evolutionary Computing (EvoWorkshops 2009)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 5484))

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Abstract

The Cumulative Capacitated Vehicle Routing Problem (or CCVRP) models transportation problems where the objective is to minimize the sum of arrival times at customers, taking into account capacity limitations. It generalizes the traveling repairman problem (or TRP), by adding capacity constraints and an homogeneous vehicle fleet. This paper presents the first metaheuristic designed for the CCVRP, taking into account specific properties to improve its speed and efficiency. The algorithm obtained also becomes the best metaheuristic for the TRP.

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Ngueveu, S.U., Prins, C., Wolfler-Calvo, R. (2009). An Effective Evolutionary Algorithm for the Cumulative Capacitated Vehicle Routing Problem. In: Giacobini, M., et al. Applications of Evolutionary Computing. EvoWorkshops 2009. Lecture Notes in Computer Science, vol 5484. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-01129-0_88

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  • DOI: https://doi.org/10.1007/978-3-642-01129-0_88

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-01128-3

  • Online ISBN: 978-3-642-01129-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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