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机构地区:[1]西北大学信息科学与技术系,陕西西安710069 [2]国防科学技术大学计算机学院,湖南长沙410073 [3]第二炮兵工程学院计算机系,陕西西安710025
出 处:《计算机应用与软件》2010年第6期132-135,共4页Computer Applications and Software
摘 要:蒙特卡洛法MC(Monte Carlo)是一种重要的概率计算方法。航迹规划是一个非结构化优化过程,是一种难以用一组数学模型来描述一条航迹的规划方法。其难点是力求快速准确,以提高应急反应能力,此是生存与制胜的关键所在。研究了利用MC法设计突破火力单元等障碍物的算法,该算法首先是将规划分成若干较为细小的事件,而后通过用随机数进行统计实验,最后归纳出是否是概率有效的,以决定取舍。MC法有效地实现了在约束条件下的航迹优化设计,速度可比常规方法提高22%。用UML语言进行了软件建模实现,包括类图、时序图等静态模型和动态模型。所给出航迹规划软件平台经应用效果良好,不但规范了航迹规划工程,而且缩短了开发时间。Monte Carlo algorithm is an important probability calculation method.Route planning for cruise missiles flight path is a structureless optimization process and is a planning method of flight path difficult to be denoted by a set of mathematical models.The difficulty lays on striving for quickness and high precisions in order to enhance emergency reaction ability of the military forces and it's crucial to surviving and vanquishing.This paper focuses on the study of an algorithm designed with Monte Carlo to break through the obstacle of firepower units.Firstly,the algorithm divides the plan into several smaller events,then statistical experiments is carried out with random numbers,and finally the decision of whether to save or delete points is made from the conclusion of what points are effective or not.Monte Carlo method effectively realized the route optimization design for flight path in geodetic azimuth constraint conditions,and the speed derived can be lifted to 22 percent higher than that of traditional method.Software modelling is realized with UML,including the static model like the class diagram and the dynamic model like the sequence diagram.The software platform of route planning for flight path presented performs well in application,it standardizes the planning project and also shortens the exploitation time.
分 类 号:TP311.52[自动化与计算机技术—计算机软件与理论]
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