基于遗传算法的低空突防三维轨迹的优化生成方法

Optimal Route-Planning Method for 3D Low-Altitude-Penetration Trajectory Based on Genetic Algorithm

  • 摘要: 针对对地攻击中低空突防问题,给出了一种基于遗传算法的三维低空突防轨迹的直接生成方法.通过对初始编码(染色体)及适应函数的优化以及对染色体复制、杂交、变异,生成了最优轨迹.其间采用了坐标直接编码,复制时加最优个体保护法,分布式搜索,启发式变异.该方法模型简单,智能化全局寻优,运算速度快,占用资源少,精度高,实时性强,经仿真模拟得到了满意的结果.

     

    Abstract: Based on the genetic algorithm (GA), a direct 3-dimensional algorithm is proposed for low-altitude-penetration trajectory under conditions of complex terrain and threat. Optimal trajectories are given by optimizing the original code group(chromosome), objective function, and genetic operators such as reproduction, crossover and mutation. Coordinate direct code design, super gene protection, distributed search and guide variation are adopted. Simulation results proved that the method is logical, feasible and effective, and attained real time effect.

     

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