Optimizing Last-Mile Deliveries: Addressing Customer Absence Through Genetic Algorithm

Last-mile delivery logistics face significant challenges, particularly regarding customer absences during scheduled delivery times. This issue not only frustrates customers but also imposes substantial economic costs on delivery companies, estimated at up to 15 euros per failed delivery. This resear...

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Bibliographic Details
Published in:Technologies
Main Authors: Javier Sánchez-Soriano, Guillermo Verdín-Urgal, Natalia Gordo-Herrera
Format: Article
Language:English
Published: MDPI AG 2025-03-01
Subjects:
logistics
genetic algorithm
simulated annealing
optimization
last mile
routing
Online Access:https://www.mdpi.com/2227-7080/13/3/115

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https://www.mdpi.com/2227-7080/13/3/115

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