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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    Title :

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


    Additional title:

    Lect. Notes Electrical Eng.


    Contributors:
    Wu, Meiping (editor) / Niu, Yifeng (editor) / Gu, Mancang (editor) / Cheng, Jin (editor) / Mao, Ni (author) / Wu, Guohua (author) / Luo, Qizhang (author) / Shi, Jianmai (author)

    Conference:

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



    Publication date :

    2022-03-18


    Size :

    10 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




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