With the development of intelligent swarm has overturned the combat concept of the traditional air defense system, decomposing large-scale swarm confrontation into small-scale groups confrontation has become a research hotspot in recent years. In this paper, we analyze the grouping constraints of the enemy (Blue Side) and our (Red Side) swarms. In order to obtain the optimal grouping scheme of the enemy swarms, we use k-means algorithm to group the enemy swarms which compared with ISODATA algorithm. Based on the above, we build a consistency function model and propose an improved adaptive genetic algorithm, which improves the rapidity and effectiveness for grouping our swarms. Finally, the grouping algorithm simulation is carried out where the feasibility and reliability of the method is verified. The adaptive grouping method can provide a basis for target assignment.


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    Title :

    Research on Adaptive Grouping Method Under Multi-constraints Swarm Confrontation


    Additional title:

    Lect. Notes Electrical Eng.


    Contributors:
    Wu, Meiping (editor) / Niu, Yifeng (editor) / Gu, Mancang (editor) / Cheng, Jin (editor) / Yin, Hao (author) / Su, Heng (author) / Huang, Tianyu (author) / Wang, Yue (author) / Li, Dongguang (author)

    Conference:

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



    Publication date :

    2022-03-18


    Size :

    11 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




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