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A cuckoo search algorithm to improve a routing problem adapted to last mile e-commerce logistics

Author

Listed:
  • Alejandro Escudero-Santana

    (Universidad de Sevilla)

  • Luis Onieva

    (Universidad de Sevilla)

  • Juan-Carlos Cortés-Muñoz

    (Universidad de Sevilla)

  • María-Luisa Muñoz-Díaz

    (Universidad de Sevilla)

Abstract

The rapid growth of e-commerce as an alternative to traditional face-to-face commerce has highlighted the logistical challenges of efficiently delivering goods to end consumers. A major problem is that recipients are often not available at the designated delivery locations during the delivery process, leading to reduced efficiency in last-mile logistics. This research works on a novel last-mile logistics framework where customers can provide multiple delivery points with different time windows. This logistical challenge represents a new and more complex variant of the vehicle routing problem with time windows. To address this problem, we present a metaheuristic approach using the cuckoo search algorithm.The results demonstrate that cuckoo search algorithm improves the costs on previous results achieved by other methodologies, allowing for greater efficiency in last-mile logistics planning.

Suggested Citation

  • Alejandro Escudero-Santana & Luis Onieva & Juan-Carlos Cortés-Muñoz & María-Luisa Muñoz-Díaz, 2025. "A cuckoo search algorithm to improve a routing problem adapted to last mile e-commerce logistics," 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. 33(4), pages 1391-1405, December.
    • Handle: RePEc:spr:cejnor:v:33:y:2025:i:4:d:10.1007_s10100-024-00945-w
    DOI: 10.1007/s10100-024-00945-w
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