摘要
公路投送是陆军全域机动的重要方式,围绕提升新型陆军全域机动能力这个核心,应重点研究战时动态选线问题。引入选线综合阻抗概念,将选线问题进行量化表达和凸化处理,用改进型神经网络算法进行优化求解。对投送任务区域的公路网络进行拓扑处理,结合MATLAB仿真功能实现可视化选线;战例设定各种突发情况,模拟路网的动态变化,得出不同条件下最优投送路线。与蚁群算法、线性规划等其他方法的计算结果对比发现,动态选线方法可提高选线效率、准确率,为陆军全域机动公路投送选线决策提供参考。
Road projection is an important way of the Army's global maneuvering.Focusing on the core of building a new Army's global mobility,our studies should be focused on the problem of wartime dynamic route selection.Upon the basis of introducing the concept of the integrated impedance of route selection to quantify and convex the problem of route selection,the improved neural network algorithm is applied to optimizing the problem and find the solution to it.We topology-process the road network within the maneuver range,in combination with the MATLAB simulation functions to achieve the visual route selection.Finally,the optimal routes in different battle cases are obtained upon the basis of setting the various emerging battle conditions in the light of diffrent practical battle examples,and simulating the dynamic changes in the route network.After being compared with the calculated results of other methods such as the ant colony algorithm and the linear programming approach,the results show that the established dynamic route-selecting method can help improve the efficiency and accuracy of route selection,and provide some useful reference for the decision-making of the Army's route selection for its global mobile road projection.
作者
汪欣
王广东
张琳琳
WANG Xin;WANG Guangdong;ZHANG Linlin(Post-Graduate Team of the Fifth Cadets' Team of Army Military Transportation University, Tianjin 300161,China;Military Transportation Research Institute of Army Military Transportation University, Tianjin 300161,China)
出处
《国防交通工程与技术》
2021年第1期6-11,29,共7页
Traffic Engineering and Technology for National Defence
关键词
陆军
全域机动
公路投送
动态选线
神经网络
land army
global maneuvering
road projection
dynamic route selection
neural network
