In modern marine warfare, unmanned underwater vehicles (UUVs) have fast and efficient attack capabilities. However, existing research on UUV attack strategies is relatively limited, often ignoring the requirement for the effective allocation of different strategic value areas, which restricts its performance in the marine combat environment. To this end, this paper proposes an innovative UUV task allocation and saturation attack strategy. The strategy first divides the area according to the distribution density of enemy UUVs, and then reasonably allocates tasks according to the enemy’s regional value and the attack capability of our UUVs. Our UUVs then sail to the enemy area and are evenly distributed in the encirclement to ensure accurate saturation attacks. In the task allocation link, the grey wolf optimizer is improved by introducing Logistic chaos mapping and differential evolution mechanism, which improves the search efficiency and allocation accuracy. At the same time, the combination of the optimal matching algorithm and Bezier curve dynamic path control ensures the accuracy and flexibility of a coordinated attack. The simulation experimental results show that the strategy shows high attack efficiency and practicality in marine combat scenarios, providing an effective solution for UUV attack tasks in complex marine environments.


    Access

    Download


    Export, share and cite



    Title :

    Task Allocation and Saturation Attack Approach for Unmanned Underwater Vehicles


    Contributors:
    Qiangqiang Chen (author) / Baisheng Liu (author) / Changdong Yu (author) / Mingkai Yang (author) / Haonan Guo (author)


    Publication date :

    2025




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    Unknown




    Task Allocation and Path Planning Method for Unmanned Underwater Vehicles

    Feng Liu / Wei Xu / Zhiwen Feng et al. | DOAJ | 2025

    Free access

    Cluster-Based Hungarian Approach to Task Allocation for Unmanned Aerial Vehicles

    Samiei, Arezoo / Ismail, Sarah / Sun, Liang | IEEE | 2019


    Cooperative Task Allocation for Heterogeneous Unmanned Delivery Vehicles

    Han, Honggui / Zhang, Yabin / Huang, Yanting | Springer Verlag | 2024


    Task Allocation of Swarm Unmanned Aerial Vehicles: A Survey

    Zhou, Yimin / Qin, Tao | Springer Verlag | 2025


    AUTONOMOUS UNMANNED UNDERWATER VEHICLES

    LICHTER HARRY J / BAKER WAYNE A / RODRIGUES STEPHEN W | European Patent Office | 2017

    Free access