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Combining Heuristics and Constraint Programming for the Parallel Drone Scheduling Vehicle Routing Problem with Collective Drones

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Metaheuristics (MIC 2024)

Abstract

Last-mile delivery problems where trucks and drones collaborate to deliver goods to final customers are considered. We focus on settings where a fleet with several homogeneous trucks work in parallel to collaborative drones, able to combine with each other to optimize speed and power consumption for deliveries. A heuristic for the min-max vehicle routing problem is coupled with constraint programming models, leading to an effective method able to provide several state-of-the-art solutions for the instances commonly adopted in the literature.

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Correspondence to Roberto Montemanni .

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Montemanni, R., Dell’Amico, M., Corsini, A. (2024). Combining Heuristics and Constraint Programming for the Parallel Drone Scheduling Vehicle Routing Problem with Collective Drones. In: Sevaux, M., Olteanu, AL., Pardo, E.G., Sifaleras, A., Makboul, S. (eds) Metaheuristics. MIC 2024. Lecture Notes in Computer Science, vol 14753 . Springer, Cham. https://doi.org/10.1007/978-3-031-62912-9_13

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  • DOI: https://doi.org/10.1007/978-3-031-62912-9_13

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-62911-2

  • Online ISBN: 978-3-031-62912-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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