In this paper, we address a collaborative routing problem of the truck-drone delivery system, in which a truck collaborates with multiple drones to perform parcel deliveries. To meet the practical demands of non-emergency deliverirs, each vehicle (i.e., a truck or a drone) is allowed to serve a customer earlier and later than the required time window. We propose a variable neighborhood search metaheuristic incorporated with an acceptable criterion of simulated annealing (HVNS-SA) to solve this problem. Besides, we design a novel solution representation and introduce 6 problem-specific neighborhood structures to construct the hybrid metaheuristic. Finally, extensive experiments are conducted based on a set of benchmark instances to evaluate the performance of HVNS-SA. The comparison studies with simulated annealing (SA), conventional variable neighborhood search (CVNS), and variable neighborhood descent (VND) show the superiority of HVNS-SA.
Hybridization of Variable Neighborhood Search and Simulated Annealing for the Collaborative Truck-Drone Routing Problem
Lect. Notes Electrical Eng.
International Conference on Autonomous Unmanned Systems ; 2021 ; Changsha, China September 24, 2021 - September 26, 2021
Proceedings of 2021 International Conference on Autonomous Unmanned Systems (ICAUS 2021) ; Kapitel : 149 ; 1505-1515
2022-03-18
11 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
Collaborative truck-and-drone delivery for inventory-routing problems
Elsevier | 2022
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