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A Simheuristic for the Heterogeneous Site-Dependent Asymmetric VRP with Stochastic Demands

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Advances in Artificial Intelligence (CAEPIA 2016)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9868))

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Abstract

Rich Vehicle Routing Problems (RVRPs) refer to complex and realistic extensions of the classical Vehicle Routing Problem. They constitute a hot topic in logistics due to their high number of relevant applications. This work focuses on a RVRP with the following characteristics: (a) heterogeneous fleet of vehicles, (b) site-dependency, i.e., not all types of vehicle can reach all customers, (c) asymmetric costs, and (d) stochastic demands. We formally define the problem and describe real-life applications. Our main contribution is a simheuristic-based methodology including a Successive Approximations Method for solving it. A computational experiment is carried out to illustrate the proposed methodology. Moreover, the suitability of considering a simheuristic approach is analyzed.

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Acknowledgments

This work has been partially supported by the Spanish Ministry of Economy and Competitiveness (TRA2013-48180-C3-P and TRA2015-71883-REDT), FEDER, the Catalan Government (2014-CTP-00001) and the Government of Andorra (ACTP022-AND/2014).

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Authors and Affiliations

  1. Computer Science Department, Open University of Catalonia - IN3, Castelldefels, Spain

    Laura Calvet, Adela Pagès-Bernaus & Angel A. Juan

  2. Observatori de la Sostenibilitat d’Andorra (OBSA), Sant Julià de Lòria, Andorra

    Oriol Travesset-Baro

Authors
  1. Laura Calvet
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  2. Adela Pagès-Bernaus
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  3. Oriol Travesset-Baro
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  4. Angel A. Juan
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Corresponding author

Correspondence to Laura Calvet .

Editor information

Editors and Affiliations

  1. Artificial Intelligence Center, University of Oviedo, Gijón, Spain

    Oscar Luaces

  2. University of Castilla-La Mancha , Albacete, Spain

    José A. Gámez

  3. Public University of Navarre , Pamplona, Spain

    Edurne Barrenechea

  4. Universidad Pablo de Olavide , Sevilla, Spain

    Alicia Troncoso

  5. Public University of Navarre , Pamplona, Navarra, Spain

    Mikel Galar

  6. University of Salamanca , Salamanca, Spain

    Héctor Quintián

  7. University of Salamanca , Salamanca, Spain

    Emilio Corchado

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Calvet, L., Pagès-Bernaus, A., Travesset-Baro, O., Juan, A.A. (2016). A Simheuristic for the Heterogeneous Site-Dependent Asymmetric VRP with Stochastic Demands. In: Luaces , O., et al. Advances in Artificial Intelligence. CAEPIA 2016. Lecture Notes in Computer Science(), vol 9868. Springer, Cham. https://doi.org/10.1007/978-3-319-44636-3_38

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  • DOI: https://doi.org/10.1007/978-3-319-44636-3_38

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-44635-6

  • Online ISBN: 978-3-319-44636-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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