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A firefly algorithm for the heterogeneous fixed fleet vehicle routing problem

Author

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  • Panagiotis-Petros Matthopoulos
  • Stella Sofianopoulou

Abstract

Vehicle routing is a key success factor in logistics problems. A variation of vehicle routing problem (VRP), the heterogeneous fixed fleet VRP in which the vehicles available for distribution activities are characterised by different capacities and costs, is tackled. A hybrid firefly algorithm for optimising the routing of heterogeneous fixed fleet of vehicles in logistics distribution systems is presented. The principles and key steps of the proposed firefly algorithm are introduced in detail. Experimental results from solving the heterogeneous fixed fleet vehicle routing problem when tested on benchmark datasets are demonstrated. Moreover, the algorithm is compared with other algorithms solving similar problems in order to prove the effectiveness of the proposed hybrid firefly algorithm.

Suggested Citation

  • Panagiotis-Petros Matthopoulos & Stella Sofianopoulou, 2019. "A firefly algorithm for the heterogeneous fixed fleet vehicle routing problem," International Journal of Industrial and Systems Engineering, Inderscience Enterprises Ltd, vol. 33(2), pages 204-224.
  • Handle: RePEc:ids:ijisen:v:33:y:2019:i:2:p:204-224
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    Cited by:

    1. Themistoklis Stamadianos & Andromachi Taxidou & Magdalene Marinaki & Yannis Marinakis, 2024. "Swarm intelligence and nature inspired algorithms for solving vehicle routing problems: a survey," Operational Research, Springer, vol. 24(3), pages 1-45, September.
    2. Roger Książek & Katarzyna Gdowska & Antoni Korcyl, 2021. "Recyclables Collection Route Balancing Problem with Heterogeneous Fleet," Energies, MDPI, vol. 14(21), pages 1-16, November.

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