城市物流配送中时间-位置依赖型多目标绿色车辆路径问题研究  

Research on time-and-site dependent multi-objective green vehicle routing problem in urban logistics distribution

作　　者：周鲜成 郑梓亮 杨堃 吕阳 ZHOU Xian-cheng;ZHENG Zi-liang;YANG Kun;LV Yang(School of Intelligent Engineering and Intelligent Manufacturing,Hunan University of Technology and Business,Changsha 410205,China;School of Advanced Interdisciplinary Studies,Hunan University of Technology and Business,Changsha 410205,China;International Business School,Hunan University of Technology and Business,Changsha 410205,China)

机构地区：[1]湖南工商大学智能工程与智能制造学院,长沙410205 [2]湖南工商大学前沿交叉学院,长沙410205 [3]湖南工商大学国际商学院,长沙410205

出　　处：《控制与决策》2025年第2期413-422,共10页Control and Decision

基　　金：国家自然科学基金面上项目(71972069);湖南省高校科学研究重点项目(21A0391);湖南省高校物流系统优化与运作管理科技创新团队项目(湘教通[2019]379号)。

摘　　要：为了推进城市物流配送领域的节能减排,提出时间-位置依赖型多目标绿色车辆路径问题.首先,提出考虑不同情形交通拥堵状况下的车辆行驶时间计算方法,综合考虑车辆行驶速度动态变化、实时载重等因素对油耗和碳排放的影响,建立车辆油耗和碳排放测度模型;然后,分析车辆配送时刻与顾客满意度间的关系,建立顾客满意度函数;接着,以车辆使用成本、油耗和碳排放成本和最小化以及顾客平均满意度最大化作为优化目标,构建数学模型;最后,设计一种改进的头脑风暴优化算法进行求解.实验结果表明,所构建模型和所提出算法能够在物流配送的多个目标间取得平衡,有效规避交通拥堵,降低物流配送总成本,减少油耗和碳排放,提高顾客满意度.In order to promote energy saving and emission reduction in the field of urban logistics distribution,a time-andsite dependent multi-objective green vehicle routing problem is proposed.Firstly,a method for calculating vehicle travel time under different situations of traffic congestion is proposed.Secondly,the impacts of vehicle travel speed dynamic change,real-time load and other factors on fuel consumption and carbon emission are considered comprehensively to establish a vehicle fuel consumption and carbon emission measurement model.Then the relationship between vehicle delivery moments and customer satisfaction is analyzed and a customer satisfaction function is established.On this basis,a mathematical model is constructed by taking the minimization of the sum of the costs of vehicle use,fuel consumption and carbon emission,and the maximization of the average satisfaction of customers as the optimization objectives.Finally,an improved brainstorming optimization algorithm is designed.The experimental results show that the constructed model and the proposed algorithm can achieve balance between multiple objectives of logistics distribution,effectively avoid traffic congestion,reduce the total cost of logistics distribution,reduce fuel consumption and carbon emission,and improve customer satisfaction.

关 键 词：绿色车辆路径问题 时间依赖型 位置依赖型 头脑风暴优化算法 多目标优化 

分 类 号：F252[经济管理—国民经济] U116[交通运输工程]