华东交通大学学报2026，Vol.43Issue(1)：71-81,11.
考虑运输成本的多车型车辆配载研究
Research on Multi-Type Vehicle Loading Considering Transportation Cost
摘要
Abstract
In order to solve the problem of high transportation costs in the process of multi-vehicle loading,a multi vehicle loading problem that considers both transportation costs and transportation safety was studied.Firstly,un-der the premise of infinite vehicle loading capacity,a mathematical model for vehicle loading was constructed to minimize the cost of using vehicles and consider load balancing for the problem of vehicle loading of multiple ve-hicle types and varieties of goods.Secondly,variable neighborhood search algorithm was proposed to solve the problem.Finally,based on the idea of"personification",neighborhood operators such as tail box operator,large ve-hicle to small vehicle operator,one large vehicle to two small vehicle operator,two small vehicle to one large vehi-cle operator,and shaking operator to heavy-duty vehicles were designed and applied to the variable neighborhood search algorithm.The example data results demonstrate that compared with traditional intelligent optimization al-gorithms,the variable neighborhood search algorithm constructed in this paper has strong global search ability.The model and algorithm can reduce the number of vehicles from 4 to 3 while ensuring load balance,thereby re-ducing vehicle costs by 17.44%.The average loading rate is increased from 0.69 to 0.89,and improving the aver-age vehicle loading rate by 28.99%.The optimization effect is significant.The model and algorithm constructed in this article can greatly save the transportation costs of logistics enterprises,improve transportation profits,and help logistics enterprises improve quality,reduce cost,and increase efficiency while ensuring transportation safety.关键词
多车型/运输成本/车辆配载/负载均衡/变邻域搜索Key words
multiple type vehicles/transportation cost/vehicle loading/load balancing/variable neighborhood search分类
交通工程引用本文复制引用
徐翔斌,陈艳萍..考虑运输成本的多车型车辆配载研究[J].华东交通大学学报,2026,43(1):71-81,11.基金项目
国家自然科学基金项目(72261011) （72261011）
