环境与成本兼顾视角下的多车型HFGVRPTW研究  

Research on HFGVRPTW of Heterogeneous Vehicles Based on the Perspective of Environment and Cost

作　　者：王莉 WANG Li(School of Intelligent Engineering and Intelligent Manufacturing,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,湖南长沙410205

出　　处：《物流科技》2023年第22期12-16,共5页Logistics Sci-Tech

基　　金：湖南省哲学社科基金项目(18YBA270);湖南省自然科学基金项目(2022JJ30219,2023JJ50017);湖南省社会科学成果评审委员会一般课题(XSP20YBC024);教育部产学合作协同育人项目(220505211254322);湖南省教育厅科学研究项目重点课题(22A0464)。

摘　　要：文章从兼顾环境与成本的视角出发,研究绿色物流中多车型带时间窗的车辆路径问题(heterogeneous fleet green vehicle routing problem with time windows,HFGVRPTW)。综合考虑车辆油耗、碳排放、客户时间窗与配送成本等因素,引入综合排放模型(Comprehensive Modal Emission Model,CMEM),并在此基础上,以车辆油耗和配送成本最小化为目标构建了HFGVRPTW数学模型。为求解该模型,还设计了一种动态规划算法结合遗传算法的混合启发式算法。The heterogeneous fleet green vehicle routing problem with time windows(HFGVRPTW)of heterogeneous vehicles is studied based on the perspective of environment and cost.In this paper,Comprehensive Modal Emission Model(CMEM)is introduced by considering fuel consumption,carbon emissions,customers'time windows and distribution cost.on this basis,an HFGVRPTW model is formulated,and the objects are to minimize fuel consumption and economic cost.To solve this model,a hybrid heuristic algorithm based on dynamic programming algorithm and genetic algorithm is designed.

关 键 词：绿色物流 多车型 油耗量 车辆路径问题 混合启发式算法 

分 类 号：F50[经济管理—产业经济] TP391.9[自动化与计算机技术—计算机应用技术]