基于多目标蚁群算法的多配送中心应急物资配送车辆调度优化方法  

Optimization method for emergency material delivery vehicle scheduling in multiple distribution centers based on multi-objective ant colony algorithm

作　　者：刘建辉 王琼 LIU Jian-hui;WANG Qiong(School of Mechanical and Electrical Engineering,Xi'an University of Architecture&Technology,Xi'an 710055,China)

机构地区：[1]西安建筑科技大学机电学院,西安710055

出　　处：《吉林大学学报(工学版)》2025年第2期631-638,共8页Journal of Jilin University:Engineering and Technology Edition

基　　金：国家青年科学基金项目(52206109)。

摘　　要：为有效解决多配送中心应急物资配送车辆调度方案不佳和物资满意度低的问题,提出了一种基于多目标蚁群算法的多配送中心应急物资配送车辆调度优化方法。考虑到配送路径的实际情况,以车辆平均运输时间和物资满足度最大化为目标,构建多配送中心应急物资配送车辆调度优化多目标函数。结合多目标蚁群算法对多目标函数求解,确定最优多配送中心应急物资配送车辆调度方案。实验分析证明:本文方法的多配送中心应急物资配送方案更加合理,调度综合系数在0.950以上,并且物资满意度达到了90.00%以上,其有效提高了车辆调度效果,能够制订更加合理的调度方案。In order to effectively solve the problems of poor vehicle scheduling scheme and low satisfactionof materials in multi-distribution center,a multi-objective ant colony algorithm based vehicle schedulingoptimization method for multi-distribution center emergency materials distribution was proposed.Considering the actual situation of the distribution route,aiming at maximizing the average transportationtime and material satisfaction,the multi-objective function of vehicle scheduling optimization foremergency materials distribution in multi-distribution centers was constructed.Based on the multi-objective ant colony algorithm,the optimal vehicle scheduling scheme for emergency materials distributionin multi-distribution center is determined.The experimental analysis proves that the proposed multi-distribution center emergency materials distribution scheme is more reasonable,the schedulingcomprehensive coefficient is above 0.950,and the material satisfaction rate is above 90.00%,which effectively improves the vehicle scheduling effect and can develop a more reasonable scheduling scheme.

关 键 词：多目标蚁群算法 多配送中心 应急物资配送 车辆调度优化 

分 类 号：F252[经济管理—国民经济]