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POPMUSIC for a real-world large-scale vehicle routing problem with time windows

Author

Listed:
  • A Ostertag

    (University of Vienna)

  • K F Doerner

    (University of Vienna)

  • R F Hartl

    (University of Vienna)

  • E D Taillard

    (University of Applied Science)

  • P Waelti

    (University of Applied Science)

Abstract

This paper presents a heuristic approach based on the POPMUSIC framework for a large-scale Multi Depot Vehicle Routing Problem with Time Windows derived from real-world data. POPMUSIC is a very powerful tool for tackling large problem instances. A Memetic Algorithm is used as an optimizer in the POPMUSIC framework. It is shown that a population-based search combined with decomposition strategies is a very efficient and flexible tool to tackle real-world problems with regards to solution quality as well as runtime.

Suggested Citation

  • A Ostertag & K F Doerner & R F Hartl & E D Taillard & P Waelti, 2009. "POPMUSIC for a real-world large-scale vehicle routing problem with time windows," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 60(7), pages 934-943, July.
    • Handle: RePEc:pal:jorsoc:v:60:y:2009:i:7:d:10.1057_palgrave.jors.2602633
    DOI: 10.1057/palgrave.jors.2602633
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    References listed on IDEAS

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    Cited by:

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    2. Taillard, Éric D. & Helsgaun, Keld, 2019. "POPMUSIC for the travelling salesman problem," European Journal of Operational Research, Elsevier, vol. 272(2), pages 420-429.
    3. Zhang, Guoqing & Nishi, Tatsushi & Turner, Sarina D.O. & Oga, Keisuke & Li, Xindan, 2017. "An integrated strategy for a production planning and warehouse layout problem: Modeling and solution approaches," Omega, Elsevier, vol. 68(C), pages 85-94.
    4. Eduardo Lalla-Ruiz & Stefan Voß & Christopher Expósito-Izquierdo & Belén Melián-Batista & J. Marcos Moreno-Vega, 2017. "A POPMUSIC-based approach for the berth allocation problem under time-dependent limitations," Annals of Operations Research, Springer, vol. 253(2), pages 871-897, June.

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