低空突防三维优化轨迹的生成与仿真  

An Optimal Route-planning Method for Low Penetration Trajectory Based on Genetic Algorithm

作　　者：杨剑影[1] 张海[2] 尹健[1] 

机构地区：[1]北京理工大学机电工程学院,北京100081 [2]北京航空航天大学自动控制系,北京100083

出　　处：《系统仿真学报》2004年第7期1545-1547,共3页Journal of System Simulation

摘　　要：针对对地攻击中低空突防问题,作者给出了一种基于遗传算法的3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,变异生成最优轨迹,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,实时性强等优点,经仿真模拟得到了满意的结果。Based on the Genetic Algorithm (GA), a direct 3-dimensionnal algorithm is proposed for the low altitude penetration under complex terrain and threat. Optimal trajectories are given by optimizing original code group (chromosome), objective function, and genetic operators such as reproduction, crossover and mutation. We adopted the coordinate direct code design, super gene protect, distribution search and guide variation. Simulation result proved that this method is reasonable, feasible and effective, and has real-time effect.

关 键 词：低空突防 三维优化轨迹 遗传算法 最优轨迹 军事科技 

分 类 号：V249.122.6[航空宇航科学与技术—飞行器设计]