计重收费政策下的货物权重车辆路径

Weighted vehicle routeing problem under toll-by-weight policy

为提高物流效率、降低物流成本,在货物权重车辆路径问题(Weighted Vehicle RouteingProblem,WVRP)和计重收费问题研究的基础上,按照完全计重收费模式,建立以运输过程中总费用(包括固定费用、油耗费用和路桥费用)最小为目标函数的整数非线性规划优化模型.对实际算例,首先使用lingo软件求解精确解,然后利用粒子群优化(Particle Swarm Optimization,PSO)算法求解近似优化解,最后求解一般车辆路径问题模型并计算出相应的行驶总费用.3种结果的比较分析说明所提出的模型和用PSO算法求解的可行性和有效性.该模型可实现运输资源的优化配置,降低企业的物流成本.

To improve logistics efficiency and reduce logistics cost,based on the study of Weighted Vehi-cle Routeing Problem（WVRP） and toll-by-weight problem,according to full toll-by-weight mode,an in-teger nonlinear programming optimization model is established in order to minimize the total cost（include fixed cost,fuel cost and roll cost） during the transport process.For the actual examples,the lingo soft-ware is firstly used to get the exact solutions,and then the Particle Swarm Optimization（PSO） algorithm is used to get the approximate optimal solution,finally the general vehicle routeing problem model is solved and the corresponding total cost of driving is calculated.Comparative analysis of the three kinds of results illustrates the feasibility and effectiveness of the proposed model and PSO algorithm.The method can realize the allocation optimization of transportation resources and reduce the enterprise’s logistics cost.