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针对现有航迹规划方法过多依靠先验知识,无法反映威胁源联网和突防过程中的各种随机因素对航迹规划的影响,提出一种网络化反导防御体系环境下的基于启发式仿真优化的快速航迹规划方法。该方法首先利用启发式搜索算法缩减仿真优化的实验空间,生成精英航迹集合,然后通过攻防仿真实验给出精英航迹的性能评价值,选择最佳航迹对应的规划目标函数权重取值,作为下一轮优化的初始值,直至得到满意解。最后通过一个规划实例证明方法的正确性和可行性。
In view of the fact that the existing trajectory planning methods depend too much on prior knowledge, which can not reflect the impact of various random factors in the process of the threat source networking and penetration process on the flight path planning, an enviroment based on the networked ABM system is proposed. Simulation and optimization of fast track planning method. In this method, the heuristic search algorithm is used to reduce the experimental space of the simulation optimization and generate the elite track set. Then, the performance evaluation value of the elite track is given through the simulation experiment of offense and defense, the weight of the objective function of the planning corresponding to the best track is selected, As the initial value of the next round of optimization until a satisfactory solution is obtained. Finally, a planning example is used to prove the correctness and feasibility of the method.