摘要
从城市与农村物流市场的发展看,目前物流配送模式较为单一,为提高配送效率和降低配送成本,提出的“无人机-车辆”协同物流配送模型,以无人机与车辆协同工作为主导,求解“最后一公里”的配送问题。以最小成本为目标函数,应用基于最小代价插入算法的遗传算法模型,探究不同起始配送节点下“无人机-车辆”协同物流配送的最小成本问题。
With the development trend of urban and rural logistics market,the currentdistribution mode is relatively monotonews.To improve distribution efficiency and reduce costs,a "drone-vehicle" collaborative logistics distribution model is proposed to solve the "lastmile"distribution problem with drone-vehicle collaborative work as the leading.Taking the minimum cost as the objective function,a Genetic Algorithm model based on the Cheapest Insertion Algorithm is constructed to explore the mini-mum cost of "drone-vehicle" collaborative logistics distribution under different initial distribution nodes.
作者
刘颖
杨宁
张书琴
江炜
郑鸿宇
LIU Ying;YANG Ning;ZHANG Shuqin;JIANG Wei;ZHENG Hongyu(College of Aeronautics and Mechanical EngineeringlCollege of Civil Aviation,Changzhou Institute of Technology,Changzhou 213032,China)
出处
《火力与指挥控制》
CSCD
北大核心
2024年第12期151-157,共7页
Fire Control & Command Control
基金
江苏省自然科学基金资助项目(BK20200175)。
关键词
“无人机-车辆”协同物流配送
最小代价插入算法
遗传算法
"drone-vehicle"collaborative logistics distribution
cheapest insertion algorithm
genetic algorithm
