摘要
现代战争呈现高对抗、复杂性高和快速性等诸多特征,战场上时间就是生命,战场补给成为十分重要的一环,快速高效的战场补给能够有效支撑我方战斗力持续保持。对补给车辆如何能够寻找到最高效的行驶路线进行研究,将战场上需补给的装备或士兵抽象为坐标点,形成需行驶坐标地图,构建蚁群寻优模型,对最优补给车辆行驶路线进行规划求解,提供一种最小路程的行驶路线规划求解方法。
Modern warfare presents many characteristics such as high confrontation,high complexity,and rapidity.Time is life on the battlefield,and battlefield supply is a very important link.Rapid and efficient battlefield supply can effectively support the continuous maintenance of our combat effectiveness.This paper studies how supply vehicles can find the most efficient driving routes.Abstract the various equipment or soldiers on the battlefield that need to be replenished as coordinate points to form a coordinate map that needs to be traveled,construct an ant colony optimization model,plan and solve the optimal driving route of the supply vehicle,and provide a planning and solving method for the driving route with the minimum distance.
作者
胡荣璞
HU Rongpu(Jiangnan Institute of Mechanical and Electrical Design,Guiyang 550009,China)
出处
《电子测试》
2024年第2期78-81,共4页
Electronic Test
关键词
线路规划
蚁群算法
补给车辆
route planning
ant colony algorithm
supply vehicle
作者简介
胡荣璞,硕士,主要研究方向为指挥控制系统设计。E-mail:574346308@qq.com。
