In order to solve the problem of path planning and maximize the cooperative combat effectiveness of manned aircrafts and unmanned aircrafts, firstly, considering the battlefield environment model and the performance of each aircraft, the cost function of multi-aircrafts coordinated path planning is established. Then, a path planning strategy is proposed based on the improved differential evolution algorithm using auxiliary population. Finally, the model is built to verify the simulation. The results show that the proposed algorithm and strategy can effectively meet the requirements of coordinated path planning.


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    Titel :

    Coordinated Path Planning for Multi-aircrafts Based on Improved Differential Evolution Algorithm


    Weitere Titelangaben:

    Lect. Notes Electrical Eng.


    Beteiligte:
    Wu, Meiping (Herausgeber:in) / Niu, Yifeng (Herausgeber:in) / Gu, Mancang (Herausgeber:in) / Cheng, Jin (Herausgeber:in) / Song, Yike (Autor:in) / Lv, Mingwei (Autor:in) / Zhang, Shaoqing (Autor:in)

    Kongress:

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



    Erscheinungsdatum :

    2022-03-18


    Format / Umfang :

    9 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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