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

Alejandro Escudero-Santana (), Luis Onieva, Juan-Carlos Cortés-Muñoz and María-Luisa Muñoz-Díaz
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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

Central European Journal of Operations Research, 2025, vol. 33, issue 4, No 10, 1405 pages

Abstract: 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.

Keywords: e-commerce; Last-mile logistics; VRP; Methaheuristics; Cuckoo search (search for similar items in EconPapers)
Date: 2025
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DOI: 10.1007/s10100-024-00945-w

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