针对传统空空导弹攻击区多项式拟合方法拟合模型固定,拟合精度较差等问题,提出一种基于遗传规划的空空导弹攻击区拟合方法。首先建立遗传规划空空导弹攻击区拟合模型,然后利用遗传规划算法对攻击区进行拟合,得到攻击区拟合多项式模型,最后通过非线性回归的方法对拟合得到的多项式模型进行回归分析,修正模型系数,得到最终的空空导弹攻击区拟合多项式。仿真实验证明了该算法比传统多项式拟合算法拥有更高的拟合精度。

For the problem that fitting model is fixed and precision is low of traditional air-to-air missile launch envelops fitting method, an air-to-air missile launch envelops fitting method based on genetic programming was proposed. Firstly, an air-to-air missile launch envelops fitting model based on genetic programming was established. Secondly, the air-to-air missile launch envelops was fitted by genetic programming algorithm so as to get polynomial fitting model. Finally, regression analysis on the polynomial model was performed by nonlinear regression method in order to update the model coefficient and get the final air-to-air missile launch envelops fitting polynomial. The simulation results show that this algorithm is higher in precision than traditional polynomial fitting algorithm.