基于改进的遗传算法与龙格库塔法的弹道求解方法  

A Method of Ballistic Based on Genetic Algorithm and Runge-Kutta

作　　者：刘彦君[1] 

机构地区：[1]国防科学技术大学信息系统工程重点实验室,湖南长沙410073

出　　处：《兵工自动化》2011年第1期4-7,24,共5页Ordnance Industry Automation

基　　金：国家自然科学基金(70701038)

摘　　要：为提高火炮打击效能,对基于改进的遗传算法与龙格库塔法的弹道求解方法进行研究。提出基于差分龙格库塔法的外弹道模型,在目标点位置已知时,可以精确求出与目标点共水平面的落点坐标。并提出了基于遗传算法的最佳射角求解方法,动态缩小搜索范围,运行参数自适应调整,快速高效的求出火炮初射角参数。案例结果验证了该方法的可行性与有效性,对于弹道解算研究具有一定的应用价值。In order to improve hit potency of guns, this paper has researched the method of ballistic based on genetic algorithm and Runge-Kutta. Firstly advanced a ballistic model based on difference Runge-Kutta, which can accurately solved the coordinate of point of fall after gaining the information of target position. Then, put forward an algorithm of optimal angle of fire based on genetic algorithm, which decreased the search range dynamically and parameters adjusted by them. Ultimately, it calculated the optimal angle of fire. Meanwhile, proved the feasibility and validity by analyzing a ease, the work has an important applied value for ballistic.

关 键 词：遗传算法 龙格库塔法 最佳射角 

分 类 号：TP301.6[自动化与计算机技术—计算机系统结构] N945.12[自动化与计算机技术—计算机科学与技术]