In recent years, due to the development of e-commerce and the social economy, the demand for logistics and transportation has become more and more huge. For freight platforms, under the impact of big data, how to reasonably allocate the matching relationship between vehicles and goods is an urgent problem to be solved. Therefore, this paper proposes a vehicle-cargo matching model based on the weed optimization algorithm, which quantitatively models the common vehicle-cargo matching schemes, and integrates various factors to establish an objective function for calculation. A heuristic algorithm weed optimization algorithm is introduced to match the vehicle and cargo in the model. Experiments show that this method can significantly improve the efficiency of vehicle and cargo matching, reduce the generation of local optimum, and can be adapted to solve the actual vehicle and cargo matching problem.


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    Titel :

    Research on Vehicle and Cargo Matching of Electric Materials Based on Weed Optimization Algorithm


    Weitere Titelangaben:

    Lect. Notes Electrical Eng.


    Beteiligte:
    Wang, Yue (Herausgeber:in) / Liu, Yuyang (Herausgeber:in) / Zou, Jiaqi (Herausgeber:in) / Huo, Mengyao (Herausgeber:in) / Yu, Xiao (Autor:in) / Huang, Dedi (Autor:in) / Gao, Yanlong (Autor:in) / Zhu, Jun (Autor:in) / Ren, Bohan (Autor:in)

    Kongress:

    International Conference On Signal And Information Processing, Networking And Computers ; 2022 September 06, 2022 - September 06, 2022



    Erscheinungsdatum :

    24.02.2023


    Format / Umfang :

    9 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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