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European Conference on the Applications of Evolutionary Computation

EvoApplications 2011: Applications of Evolutionary Computation pp 344–353Cite as

Flexible Variable Neighborhood Search in Dynamic Vehicle Routing

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 6624))

Abstract

Many optimization problems are dynamic, which means that the available data may change while the problem is being solved. Incorporating elements into the algorithm that take into account these changes usually leads to more effective algorithms which provide better solutions. In this work, we propose a flexibility strategy for the Vehicle Routing Problem with Dynamic Requests. We show that early decissions, which are taken in the beginning of the optimization process, influence the quality of final solutions for the dynamic problem. Our flexible algorithm provides better results than the canonical one and is competitive with the results in the literature.

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Author information

Authors and Affiliations

  1. Departamento de Lenguajes y Ciencias de la Computación, Universidad de Málaga, E.T.S.I. Informática, Campus de Teatinos, 29071, Málaga, Spain

    Briseida Sarasola & Enrique Alba

  2. INRIA Lille Nord-Europe, Parc scientifique de la Haute-Borne, Bâtiment A, 40 Avenue Halley, Park Plaza, 59650, Villeneuve d’Ascq Cedex, France

    Mostepha R. Khouadjia, Laetitia Jourdan & El-Ghazali Talbi

Authors
  1. Briseida Sarasola
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  2. Mostepha R. Khouadjia
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  3. Enrique Alba
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  4. Laetitia Jourdan
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  5. El-Ghazali Talbi
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Editor information

Editors and Affiliations

  1. Department of Mathematics and Statistics, University of Strathclyde, 16 Richmond Street, G1 1XQ, Glasgow, UK

    Cecilia Di Chio

  2. Department of Computer Engineering, University of Parma, Viale Usberti 181/a, 43100, Parma, Italy

    Stefano Cagnoni

  3. Departamento de Lenguajes y Ciencias de la Computación, ETSI Informática, Universidad de Málaga, Campus Teatinos, 29071, Málaga, Spain

    Carlos Cotta

  4. Wilhelm-Schickard-Institut für Informatik, Universität Tübingen, Sand 1, 72076, Tübingen, Germany

    Marc Ebner

  5. Knowledge Engineering Research Group, Aston University, Aston Triangle, B4 7ET, Birmingham, UK

    Anikó Ekárt

  6. Instituto Tecnológico de Informática, Universidad Politécnica de Valencia, Edif. 8G Acceso B, 46022, Valencia, Spain

    Anna I. Esparcia-Alcázar

  7. Departamento de Electrónica y Tecnología de los Computadores, Universidad de Granada, 18071, Grenada, Spain

    Juan J. Merelo

  8. Department of Mathematical Information Technology, University of Jyväskylä, 4th Floor, P.O. Box 25, 40014, Agora, Finland

    Ferrante Neri

  9. Lehrstuhl für Algorithm Engineering, Technische Universität Dortmund, Otto-Hahn-Straße 14, 44227, Dortmund, Germany

    Mike Preuss

  10. Fakultät Elektrotechnik und Informationstechnik, HTWK Leipzig, Postfach 30 11 66, 04251, Leipzig, Germany

    Hendrik Richter

  11. Center for Computer Games Research, IT University of Copenhagen, Rued Langgaards Vej 7, 2300, Copenhagen S, Denmark

    Julian Togelius  & Georgios N. Yannakakis  & 

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© 2011 Springer-Verlag Berlin Heidelberg

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Sarasola, B., Khouadjia, M.R., Alba, E., Jourdan, L., Talbi, EG. (2011). Flexible Variable Neighborhood Search in Dynamic Vehicle Routing. In: Di Chio, C., et al. Applications of Evolutionary Computation. EvoApplications 2011. Lecture Notes in Computer Science, vol 6624. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-20525-5_35

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  • DOI: https://doi.org/10.1007/978-3-642-20525-5_35

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-20524-8

  • Online ISBN: 978-3-642-20525-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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