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Article . 2021 . Peer-reviewed
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Article . 2021
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Modeling the flying sidekick traveling salesman problem with multiple drones

Authors: Mauro Dell'Amico; Roberto Montemanni; Stefano Novellani;

Modeling the flying sidekick traveling salesman problem with multiple drones

Abstract

AbstractThis article considers a version of the flying sidekick traveling salesman problem in which parcels are delivered to customers by either a truck or a set of identical flying drones. The flights of the drones are limited by the battery endurance and each flight is made of a launch, a service to a customer, and a return: launch and return must happen when the truck is stationary. These operations require time and when multiple drones are launched and/or collected at the same node, their order becomes relevant. The proposed model takes into account the order of these operations as a scheduling problem, because ignoring it could lead to infeasible solutions in the reality due to the possible exceeding of the drones endurance. We propose a set of novel formulations for the problem that can improve the size of the largest instances solved in the literature. We provide a comparison among the formulations, between the multiple drones solutions and the single drone ones, and among different variants of the model.

Country
Italy
Keywords

UAV, aerial drones, formulations, MILP, branch-and-cut, parcel delivery, drone scheduling, Combinatorial optimization, branch-and-cut, formulations, drone scheduling, UAV, aerial drones, UAV; aerial drones; formulations; MILP; branch-and-cut; parcel delivery; drone scheduling, MILP, parcel delivery

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
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39
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123
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