物流管理系统中基于改进遗传算法的车辆路径选择研究  

Research on Vehicle Line Selection Based on Optimized Genetic Algorithm in Logistics Management System

作　　者：朱荣花[1] 刘永超 ZHU Ronghua;LIU Yongchao(Xi’an Siyuanuniversity,Xi’an 710038,China;Ztexian Institute,Xi’an 710061,China)

机构地区：[1]西安思源学院,西安710038 [2]中兴通讯西安研究所,西安710061

出　　处：《自动化与仪器仪表》2025年第2期198-202,共5页Automation & Instrumentation

基　　金：陕西省教育厅科研计划项目《西安近零能耗居住建筑围护结构适宜性研究》(2022JK0519)。

摘　　要：在物流管理系统中,货物配送和用户需求的最佳路径规划成为物流配送的重要方向。研究利用车辆路径问题和遗传算法的操作流程,对其车辆配送和路径规划进行最优解的计算,并对算法进行优化以构建数学模型。通过对算法最优解性能的比较分析,实验结果得出改进遗传算法的最优解计算为46.98,高于传统算法,从而说明其精确度较高。对于配送车辆的载重率,改进遗传算法及其车辆路径数学模型的最高值为95.15%,因此,证明了基于改进遗传算法的车辆路径选择具有优越性,并为物流管理系统的优化设计和开发提供技术参考。In logistics management systems,the optimal path planning for goods distribution and user needs has become an im-portant direction for logistics distribution.The operation process of vehicle routing problem and genetic algorithm is researched,calcu-late the optimal solution for vehicle delivery and path planning,and optimize the algorithm to construct a mathematical model.By comparing and analyzing the performance of the optimal solution of the algorithm,the experimental results show that the optimal solu-tion calculation of the Optimized Genetic Algorithm is 46.98,which is better than ordinary algorithms,indicating its high accuracy.The highest value of the improved genetic algorithm and its vehicle path mathematical model for the loading rate of delivery vehicles is 95.15%,which proves the superiority of vehicle path selection based on the improved genetic algorithm and provides technical refer-ence for the optimization design and development of logistics management systems.

关 键 词：物流管理 物流配送 车辆路径 遗传算法 数学模型 

分 类 号：U492.22[交通运输工程—交通运输规划与管理] TP39[交通运输工程—道路与铁道工程]