It's an important tactical operation for single aerial vehicle to attack multiple targets in one flight, and its flight route has great impact on the attacking effect and its own safety. To optimize this flight route, a new hybrid algorithm was presented for the aerial vehicle, that is : firstly, use the Dynamic Programming(DP) to search routes in order to reduce the searching times and improve the efficiency of search; then use the improved Ant Colony algorithm(ACO) to select and order the targets. Simulations shown that it's more quickly to obtain a reasonable attacking plan with the algorithm presented, which means the algorithm is effective.


    Access

    Access via TIB

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    A hybrid route planning algorithm of single aerial vehicle attacking multiple targets


    Contributors:
    Luo, Quan (author) / Liu, Zhong (author) / Qiao, Shi-Dong (author)


    Publication date :

    2010


    Size :

    6 Seiten, 7 Quellen




    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




    Unmanned aerial vehicle escape route planning

    SCHULZE JONAS / BÜDDEFELD MICHAEL CHRISTIAN / TEOMITZI HUGO EDUARDO | European Patent Office | 2022

    Free access

    UNMANNED AERIAL VEHICLE ESCAPE ROUTE PLANNING

    SCHULZE JONAS / BÜDDEFELD MICHAEL CHRISTIAN / TEOMITZI HUGO EDUARDO | European Patent Office | 2021

    Free access



    Attacking hybrid cost

    Brooke,L. | Automotive engineering | 2006