The problem that searches for the shortest delivery time of cooperative routes of trucks and drones is called the cooperative delivery routing prob-lem of trucks and drones (CDRP-T&D). The CDRP-T&D is an extension of the vehicle routing problem which involves multiple trucks and multiple drones. In CDRP-T&D, each truck serves as a moving depot and can replace fresh batteries for drones, while each drone serves as a flying sidekick that delivers multiple parcels in a sortie. Additionally, the energy consumption of the drone, which varies with the payload, is taken into account. The mathe-matic model is formulated for CDRP-T&D. The CDRP-T&D is tackled by using a variable neighborhood descent (VND) and the initial solution of VND is generate by integrating K-means clustering and Nearest neighbor. Experiments are run by comparing the proposed algorithm with tabu search (TS) on different-scale instances. The experimental results indicate that the proposed method is competitive against TS. Besides, the sensitivity analysis is conducted with respect to a critical factor.


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    Titel :

    A Variable Neighborhood Descent Method for Cooperative Delivery Routing Problem of Trucks and Drones


    Weitere Titelangaben:

    Lect. Notes Electrical Eng.


    Beteiligte:
    Wu, Meiping (Herausgeber:in) / Niu, Yifeng (Herausgeber:in) / Gu, Mancang (Herausgeber:in) / Cheng, Jin (Herausgeber:in) / Mao, Ni (Autor:in) / Wu, Guohua (Autor:in) / Luo, Qizhang (Autor:in) / Shi, Jianmai (Autor:in)

    Kongress:

    International Conference on Autonomous Unmanned Systems ; 2021 ; Changsha, China September 24, 2021 - September 26, 2021



    Erscheinungsdatum :

    18.03.2022


    Format / Umfang :

    10 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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