摘要
对物流运输快速配送路径进行规划,能够有效提高物流配送效率。对物流运输快速配送路径的规划,需要先确定路径权值,给出物流运输路径规划目标函数,完成物流配送路径规划。传统方法采用遗传算法优化运输路径,通过调整运输路径满足约束条件,但忽略了路径规划目标函数的计算。提出基于蚁群算法的数据包络分析下物流运输快速配送路径规划方法。考虑物流运输快速配送路网约束组建物流运输快速配送路径规划数学模型,第一阶段以均衡货物运输车辆任务负载为目标进行车辆配送区域划分,第二阶段以最小化运输车辆工作量和配送行程时耗为目标,给出物流运输快速配送路径规划综合测度函数,采用模糊数学的权值确定理论确定物流运输快速配送路径权值,给出物流运输快速配送路径规划目标函数,对运输路径实现优化选择。实验结果表明,所提方法在路径规划效率与收敛速度上有明显提高。
A path planning method of rapid distribution of logistics transportation under data envelopment analysis based on ant colony algorithm is proposed. The mathematical model for the path planning considering constraint of road network of the rapid distribution is built, and distribution region division for vehicle using equilibrium of task load of transport vehicle as target at first stage is carried out, then comprehensive measure function of the path plan- ning is provided by using the minimization of vehicle workload and time consumption of distribution journey. The weight determination of fuzzy mathematics is used to confirm weight of the distribution path, and objective function of the path planning is provided. Thus,the optimization selection for the distribution path is achieved. Experimental re- suits show that the method improves path planning efficiency and convergence rate apparently.
出处
《计算机仿真》
北大核心
2017年第8期342-345,共4页
Computer Simulation
基金
江西省教育厅科学技术研究项目(GJJ161549)
关键词
物流运输
快速配送
路径规划
Logistics transportation
Rapid distribution
Path planning
