The complex battlefield environment and increasing mission requirements have brought great challenges to multi-UAVs collaborative task allocation. How to accurately and efficiently implement task allocation and provide support for multi-UAVs collaborative combat in a complex adversarial environment has become an urgent problem to be solved. In this paper, the collaborative task allocation of multiple UAVs is studied, and a collaborative task assignment model of multiple UAVs is established, the model considers various constraints and actual operational requirements in the adversarial environment. An Improved Consensus-Based Grouping Algorithm (ICBGA) is proposed to solve the collaborative task allocation problem of multi-UAVs, and the relative simulation result demonstrate the proposed algorithm improves the performance of the original CBGA algorithm.


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    Title :

    Multi-UAVs Collaborative Task Allocation Based on Improved Consensus-Based Grouping Algorithm


    Contributors:
    Ma, Yunhong (author) / Li, Xinyi (author) / Wang, Haiquan (author) / Kang, Yongxiang (author) / Cao, Tianhang (author) / Zhang, Yaozhong (author) / Yang, Jie (author)


    Publication date :

    2024-06-18


    Size :

    726933 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English




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