基于排序的自适应遗传算法航空炸弹弹道拟合方法

Ballistic Trajectory Fitting of Aviation Bomb based on Ranking AGA

提出了一种基于排序的自适应遗传算法的航空炸弹弹道的拟合方法。该方法在简单遗传算法的基础上,将每一代染色体的适应度排序,并添加了交叉率和变异率的自适应控制函数,既克服了简单遗传算法收敛速度慢,稳定性差的缺点,又改善了函数优化效果。算法应用于某型航空炸弹的弹道数据拟合,仿真结果表明,该算法的拟合精度高,拟合模型优化效果良好。

In this paper, we gives out a way of ballistic trajectory fitting of aviation bomb based on ranking Adaptive Genetic Algorithms. On the base of Simple Genetic Algorithms, ranking every generation＇s fitness, and add the function which can control the cross rate and mutation rate. This way not only can overcome the SGA＇s slowly speed of constringing and bad stability, but also can improve the effect of optimizing function. And we use this way on some bomb＇s ballistic trajectory fitting, the result of simulation shows that the way have a good precision.