摘要
提出了一种基于遗传算法的空空导弹弹道拟合算法。该算法克服了诸如多因变量的多元逐次回归法、单因变量的多元逐次回归法等传统拟合算法的不足。通过对多种型号空空导弹弹道的拟合计算表明该算法可行性好、拟合精度高、拟合模型优化效果好 。
Traditional methods for approximating air to air missile trajectory are unsatisfactory. We have developed an approximating method based on genetic algorithm; the results of this approximating method have been successfully applied to the fire control design of one type of P.R.C fighter aircraft. Section 1 describes the mathematical model of our method. Section 2 explains the five steps of optimizing this mathematical model with genetic algorithm. We have done much numerical simulation. Figs.3 and 4 show only a very small part of the numerical results obtained with our method, which is based on genetic algorithm, for approximating air to air missile trajectory.
出处
《西北工业大学学报》
EI
CAS
CSCD
北大核心
2003年第2期172-175,共4页
Journal of Northwestern Polytechnical University
基金
航空科学基金 (0 0 D5 30 33)
国家教育部博士点基金
关键词
空空导弹可攻击区
拟合方法
遗传算法
air to air missile trajectory, approximating method, genetic algorithm