To improve the survivability of multiple ground vehicles when they are maneuvering under the reconnaissance of satellites, a survivability planning modeling method and a cooperative task area allocation method based on genetic algorithm were proposed. Firstly, the problem of task area allocation for multiple ground vehicles is depicted and a framework to solve the problem is established. Then satellite reconnaissance model and cooperative task area allocation model are established. And a customized genetic algorithm is adopted to perform cooperative task area allocation to minimize the total mission time and the exposure time under the reconnaissance of satellites. In addition, a survivability assessment framework is established to evaluate the survival status of ground vehicles. Finally, simulation results show that the proposed method can improve the overall survivability of multiple ground vehicles effectively.


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    Titel :

    Ground vehicles cooperative task area allocation for survivability improvement


    Beteiligte:
    Zhu, Yong (Autor:in) / Wang, Shengyin (Autor:in) / Long, Teng (Autor:in) / Wang, Zhu (Autor:in) / Xu, Guangtong (Autor:in)

    Kongress:

    Global Intelligence Industry Conference (GIIC 2018) ; 2018 ; Beijing,China


    Erschienen in:

    Proc. SPIE ; 10835


    Erscheinungsdatum :

    31.08.2018





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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