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中文摘要：
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一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。
英文摘要：
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.
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