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Variable Neighborhood Search for the Time-Dependent Vehicle Routing Problem with Soft Time Windows

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Learning and Intelligent Optimization (LION 2011)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 6683))

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Abstract

In this paper we present a variable neighborhood search for time-dependent vehicle routing problems with time windows. Unlike the well-studied routing problems with constant travel times, in the time-dependent case the travel time depends on the time of the day. This assumption approaches reality, in particular for urban areas where travel times typically vary during the day, e.g., because of traffic congestion due to rush hours. An experimental evaluation for the vehicle routing problem with soft time windows with and without time-dependent travel times is performed and it is shown that taking time-dependent travel times into account provides substantial improvements of the considered objective function.

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Author information

Authors and Affiliations

  1. Department of Business Adminstration, University of Vienna, Bruenner Strasse 72, 1210, Vienna, Austria

    Stefanie Kritzinger, Fabien Tricoire, Karl F. Doerner & Richard F. Hartl

  2. Department of Production and Logistics, Johannes Kepler University Linz, Altenberger Strasse 69, 4040, Linz, Austria

    Karl F. Doerner

Authors
  1. Stefanie Kritzinger
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  2. Fabien Tricoire
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  3. Karl F. Doerner
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  4. Richard F. Hartl
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Editors and Affiliations

  1. Departmento de Computation, Centro de Investigacion y de Estudios, Avanzados del Instituto Politecnico Nacional (CINVESTAV-IPN), Av. IPN No. 2508, Col. San Pedro Zacatenco, D.F. 0360, Mexico, Mexico

    Carlos A. Coello Coello

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© 2011 Springer-Verlag Berlin Heidelberg

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Kritzinger, S., Tricoire, F., Doerner, K.F., Hartl, R.F. (2011). Variable Neighborhood Search for the Time-Dependent Vehicle Routing Problem with Soft Time Windows. In: Coello, C.A.C. (eds) Learning and Intelligent Optimization. LION 2011. Lecture Notes in Computer Science, vol 6683. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25566-3_5

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  • DOI: https://doi.org/10.1007/978-3-642-25566-3_5

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-25565-6

  • Online ISBN: 978-3-642-25566-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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