三维战术训练空域规划方法研究

三维战术训练空域规划是对空域的合理规划利用,人工排样已经无法保证空域的安全有效利用,寻找高效快速的算法对于提高空域利用率和训练效率具有重要意义。通过对空域规划的理论研究,结合空域特性,将整个空域划分为立方体单元,构建相应的训练空域规划模型;在此基础之上,利用改进的遗传算法来寻求最优方案,剔除了大量不可行解;通过实例仿真验证该空域规划模型的合理性和有效性。结果表明:该空域模型是合理和有效的,提高了空域规划的速度和准确度。

Research on Planning Methods of 3D Tactical Training Airspace

Three-dimensional tactical training Airspace planning is a complex combinatorial optimization problem. it is very important to construct the corresponding model and design the efficient and fast algorithm to improve the efficiency of airspace utilization and training. Aiming at the characteristics of airspace, this paper divides the whole airspace into cubical units. Based on this, the training airspace planning model is constructed, and an improved genetic algorithm is used to find the optimal solution, which excludes a large number of infeasible solutions and improves the convergence rate. The experimental results show that the method is feasible and stable, and has a strong practical value, which can effectively solve the planning problem of 3D tactical training airspace.