基于无人机实时数据多波次任务规划模型分析

针对导弹部队多波次作战任务规划问题, 依据无人机的实时数据, 构建了基于路径的多层规划模型, 并设计了模型的算法求解流程。使用遗传算法与禁忌搜索混合算法, 得出了任务规划中的最优路径规划, 并在此基础上进行了冲突的消除。通过仿真案例表明, 用无人机协同配合导弹部队作战, 实时传输作战数据, 能够解决战场信息模糊不确定的问题; 使用多层规划模型能够为导弹多波次规划作战的路径进行科学的决策和选择。利用遗传算法和禁忌搜索混合算法, 能够避免局部最优导致无法输出结果的现象。

Analysis of multi wave task planning model based on UAV real-time data

According to the real-time data of unmanned aerial vehicle(UAV),a multi-layer planning model based on path is constructed,and the algorithm solving process of the model is designed.The optimal path planning in the mission planning is obtained by using the hybrid algorithm of genetic algorithm and tabu search,and the conflict is eliminated on this basis.Through the simulation case,it shows that using UAV to cooperate with missile forces,transmitting combat data in real time,can solve the problem of fuzzy and uncertain battlefield information.Using multi-level programming model can make scientific decision and selection for missile multi wave planning operation path.It can avoid local optimization and result in no output the phenomenon by using genetic algorithm and tabu search hybrid algorithm.