基于概率分析进化算法的飞行航迹规划  

Flight Path Planning Based on Probailistic Modeling Evolutionary Algorithm

作　　者：符小卫[1] 高晓光[1] 

机构地区：[1]西北工业大学电子信息学院,西安710072

出　　处：《计算机工程与应用》2006年第28期177-180,共4页Computer Engineering and Applications

基　　金：国家自然科学基金重大研究计划资助项目(编号:90205019);航空科学基金资助项目(编号:05D53022)

摘　　要：在分析传统进化算法解决飞行航迹规划问题缺点的基础上,提出了一种高阶概率分析进化算法-多变量贝叶斯优化算法,用于解决飞行器航迹规划问题。其主要特点是用多变量染色体构造贝叶斯网络,通过设计一个多变量K2评价方法评价得到的贝叶斯网络的优劣。仿真结果验证了算法的有效性。A Multivariate Bayesian Optimization Algorithm（MBOA） for three-dimensional（3-D） fight path planning problem is presented,which is based on the analysis of the drawbacks of the standard evolutionary algorithm which is often used for resolving flight path planning,The presented MBOA constructs Bayesian network by multivariate chromosome, and a multivariate K2 metric is designed to evaluate the network.The MBOA algorithm is applied to flight path planning,Experimental results demonstrate that this approach is effectively,h is also suggested that the learning mechanism in the proposed approach might be suitable for other multivariate encoding nroblems.

关 键 词：航迹规划 进化算法 概率模型 贝叶斯网络 

分 类 号：V218[航空宇航科学与技术—航空宇航推进理论与工程]