Orderly and efficient recovery of carrier-based UAVs is of great significance to enhance the operational capability of aircraft carriers. Based on the analysis of carrier-based UAV recovery route, this paper establishes a carrier-based UAV recovery scheduling model, taking the minimum weighted delay time and the maximum landing completion time as the optimization objectives, and comprehensively considering the influence of residual fuel quantity, battle damage program, follow-up task priority and other factors on carrier-based UAV recovery scheduling. Furthermore, an improved antlion optimization algorithm is proposed to solve the model. Based on the standard antlion optimization algorithm, dynamic weighting and micro disturbance mechanisms are introduced to improve the global convergence and local search ability of the antlion optimization algorithm. Finally, through recovery scheduling cases and the algorithm comparison, it shows that the improved antlion optimization algorithm has stronger optimization performance and better robustness in solving large-scale recovery scheduling problems, and has practical application values in engineering.


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    Titel :

    Application of Improved Antlion Algorithm in Carrier-Based UAVs Recovery Scheduling


    Weitere Titelangaben:

    Lect. Notes Electrical Eng.


    Beteiligte:
    Fu, Wenxing (Herausgeber:in) / Gu, Mancang (Herausgeber:in) / Niu, Yifeng (Herausgeber:in) / Xing, Zhenlin (Autor:in) / Ai, Jianliang (Autor:in)

    Kongress:

    International Conference on Autonomous Unmanned Systems ; 2022 ; Xi'an, China September 23, 2022 - September 25, 2022



    Erscheinungsdatum :

    10.03.2023


    Format / Umfang :

    14 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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