摘要
战时物资投送的路径规划不良直接影响配送任务的完成。文章从时效性、安全性和节约性3个要素着手建立多目标优化模型,在经典蚁群算法的基础上进行改进,提出一种战时物资投送路径规划方法,并用实例验证了算法有效性和优越性。
The route planning of wartime material delivery directly affects the fulfillment of distribution tasks.This paper establishes a multi-objective optimization model based on the three factors of timeliness,security and economization,and proposes an improved ant colony algorithm to develop a delivery path planning method for wartime materials.The effectiveness and superiority of the algorithm are verified by examples.
作者
马健
陈丽艳
何成铭
MA Jian;CHEN Liyan;HE Chengming(Army Academy of Armored Forces,Beijing 100072,China;Beijing Institute of Computer Technology and Applications,Beijing 100039,China)
出处
《兵器装备工程学报》
CAS
CSCD
北大核心
2023年第S01期241-249,共9页
Journal of Ordnance Equipment Engineering
关键词
多目标优化
改进蚁群算法
战时
物资投送
路径规划
multi-objective optimization
improved ant colony algorithm
wartime
delivery of supplies
path planning