Abstract
This study explores a new research direction on the cooperation between electric vehicles (EVs) and drones in last-mile logistics in the form of electric vehicle routing problem with drones (E-VRPD). The primary objective of E-VRPD is to find an optimal vehicle tour to minimize the total completion time to deliver parcels to a set of customer nodes using a set of EVs, each equipped with a single drone. Due to the importance of such problems and the lack of existing techniques, in this work, we develop a sequential decomposition algorithm with an improvement phase to solve E-VRPD. This algorithm involves the development of a mathematical formulation for inserting drone sorties into an EV tour, leading to a matheuristic algorithm. The proposed method is evaluated on a set of instances involving up to 40 customers and 7 recharging nodes, with the experimental results showing the effectiveness and relevancy of E-VRPD.
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Mara, S.T.W., Elsayed, S., Essam, D., Sarker, R. (2023). Vehicle Routing Problem for an Integrated Electric Vehicles and Drones System. In: Martins, A.L., Ferreira, J.C., Kocian, A., Tokkozhina, U. (eds) Intelligent Transport Systems. INTSYS 2022. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 486. Springer, Cham. https://doi.org/10.1007/978-3-031-30855-0_14
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