基于灰狼优化算法的军用运输机航路规划方法  

Route Planning Method for Military Transport Aircraft Based on Grey Wolf Optimization Algorithm

作　　者：魏燕明[1] 甘旭升[2] 刘飞 孙静娟[2] WEI Yan-ming;GAN Xu-sheng;LIU Fei;SUN Jing-juan(Xijing University,Xi’an 710123,China;Air Traffic Control and Navigation College,Air Force Engineering University,Xi’an 710051,China)

机构地区：[1]西京学院,西安710123 [2]空军工程大学空管领航学院,西安710051

出　　处：《火力与指挥控制》2021年第1期155-161,共7页Fire Control & Command Control

摘　　要：为改善军用运输资源的优化配置水平,在所构建航空网络基础上,提出一种采用灰狼优化算法进行军用运输机航路规划的方法。利用图论的相关知识,建立航空网络模型;引入灰狼优化算法在所构建的航空网络上优化飞行路径,实现军用运输机的航路规划;基于人造网络与北京地区航空网络所提出方法进行了验证。仿真结果表明,所提出方法具有收敛快、效率高、实用性强、易于实现的特点,能够很好地解决军用运输机的航路规划问题,从而验证了方法的有效性和可行性。In order to improve the optimal configuration level of military transportation resources,on the basis of the established aviation network,a route planning method of military transport aircraft is proposed using Grey Wolf Optimization(GWO)algorithm.Firstly,using the relevant knowledge of graph theory,the aviation network model is established;then,GWO algorithm is introduced to optimize the flight path on the built aviation network for route planning of military transport aircraft;finally,based on the artificial network and the aviation network in Beijing area,the proposed method is verified.The simulation results show that the proposed method has the characteristics of fast convergence,high efficiency,high practicability and easy implementation,and can solve the route planning problem of military transport aircraft well.This validates the effectiveness and feasibility of the method.

关 键 词：航空网络 图论 灰狼优化算法 航路规划 军用运输机 

分 类 号：TJ85[兵器科学与技术—武器系统与运用工程]