The use of large aircrafts for logistics supply is a key development direction in the future, but the existing research on mission planning problems has few problems and considers the actual environmental factors. This paper mainly considers the actual environmental factors such as aircraft loss and delivery window period, and models the task assignment and path planning of large-scale aircraft for material delivery and supply. On the basis of direct optimization with a basic genetic algorithm, an improved optimization idea and corresponding algorithm combining prior knowledge are proposed, which improves the problem of slow convergence caused by too large search space, and improves the solution speed and optimization effect of the model.


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    Titel :

    Research on mission planning model of multi-aircraft material delivery and supply


    Beteiligte:
    Lin, Jerry Chun-Wei (Herausgeber:in) / Shao, Haidong (Herausgeber:in) / Zhang, Lei (Autor:in) / An, Jing (Autor:in) / Chen, Guangxuan (Autor:in) / Huo, Yuanyuan (Autor:in) / Wang, Chunfang (Autor:in)

    Kongress:

    International Conference on Computer Application and Information Security (ICCAIS 2023) ; 2023 ; Wuhan, China


    Erschienen in:

    Proc. SPIE ; 13090


    Erscheinungsdatum :

    08.04.2024





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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