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Vehicle routing problems with time windows and multiple service workers: a systematic comparison between ACO and GRASP

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  • Gerald Senarclens de Grancy
  • Marc Reimann

Abstract

This paper systematically compares an ant colony optimization (ACO) and a greedy randomized adaptive search procedure (GRASP) metaheuristic. Both are used to solve the vehicle routing problem with time windows and multiple service workers. In order to keep the results comparable, the same route construction heuristic and local search procedures are used. It is shown that ACO clearly outperforms GRASP in the problem under study. Additionally, new globally best results for the used benchmark problems are presented. Copyright Springer-Verlag Berlin Heidelberg 2016

Suggested Citation

  • Gerald Senarclens de Grancy & Marc Reimann, 2016. "Vehicle routing problems with time windows and multiple service workers: a systematic comparison between ACO and GRASP," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 24(1), pages 29-48, March.
    • Handle: RePEc:spr:cejnor:v:24:y:2016:i:1:p:29-48
    DOI: 10.1007/s10100-014-0341-z
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    References listed on IDEAS

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    Cited by:

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    2. Antonio Martinez-Sykora & Fraser McLeod & Carlos Lamas-Fernandez & Tolga Bektaş & Tom Cherrett & Julian Allen, 2020. "Optimised solutions to the last-mile delivery problem in London using a combination of walking and driving," Annals of Operations Research, Springer, vol. 295(2), pages 645-693, December.
    3. Jonathan De La Vega & Pedro Munari & Reinaldo Morabito, 2019. "Robust optimization for the vehicle routing problem with multiple deliverymen," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 27(4), pages 905-936, December.

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