The unmanned aerial vehicle (UAV) had been popular around the world and the peasant began to use UAVs to transport bags of crop, spray pesticides or herbicides manually causing the uncertainty and difficulty in path planning. Inspired by the simplified form of expressions and better performance of the Aquila optimizer (AO), a simplified AO with multiple updating principle (SAOMUP) was proposed to improve the capability of the AO algorithm and applied in UAV path planning in this paper. Simulation experiments were carried out to test and verify the capability of the proposed algorithm. And finally, the SAOMUP was applied in UAV path planning for transportation over some mountain field with trees or stones being simulated by cylinders, and better results were achieved.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Application of the Simplified Aquila Optimizer with the Multiple Updating Principle in Unmanned Aerial Vehicle Path Planning


    Beteiligte:
    Zhao, Juan (Autor:in) / Liu, Yuan-Man (Autor:in) / Gao, Zheng-Ming (Autor:in)


    Erscheinungsdatum :

    2023-04-21


    Format / Umfang :

    714065 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Multi-UAV Cooperative Path Planning Based on Aquila Optimizer

    Huang, Hanqiao / Li, Haoran / Wang, Meng et al. | Springer Verlag | 2023



    Modified Aquila Optimization based Route Planning Model for Unmanned Aerial Vehicles Networks

    Chaudhari, Sachin Vasant / Dhipa, M. / Ayoub, Shahnawaz et al. | IEEE | 2022


    UNMANNED AERIAL VEHICLE SWARM PATH PLANNING

    JAMES SCOTT / RAHEB ROBERT | Europäisches Patentamt | 2023

    Freier Zugriff