考虑碳排放及时间满意度的高铁快运“站到门”配送优化模型及算法研究  

Optimization Model and Algorithm for Station to Door Distribution of High Speed Railway Express Considering Carbon Emissions and Time Satisfaction

作　　者：田金松 李德仓 TIAN Jinsong;LI Decang(Mechatronics T&R Institute,Lanzhou Jiaotong University,Lanzhou 730070,Gansu,China;Gansu Provincial Engineering Technology Center for Information of Logistics&Transport Equipment,Lanzhou 730070,Gansu,China;Gansu Provincial Logistics and Transportation Equipment Industry Technology Center,Lanzhou 730070,Gansu,China)

机构地区：[1]兰州交通大学机电技术研究所,甘肃兰州730070 [2]甘肃省物流及运输装备信息化工程技术研究中心,甘肃兰州730070 [3]甘肃省物流与运输装备行业技术中心,甘肃兰州730070

出　　处：《铁道运输与经济》2024年第8期113-125,共13页Railway Transport and Economy

基　　金：国家自然科学基金项目(72061021)。

摘　　要：在双碳背景下,针对高铁快运“站到门”配送阶段存在配送成本高、服务能力低、末端配送难的问题,结合高铁快运业务的特点,引入Sigmoid降指数,通过函数变换得到“站到门”配送时间满意度函数,以高铁快运不同产品类型的首重运价确定客户重要度,以服务满意度、运输经济成本、碳排放量为目标,构建高铁快运站到门配送多目标优化模型。针对鲸鱼优化算法(WOA)容易陷入局部最优解的缺陷,提出并设计快速非支配排序多目标鲸鱼优化算法(FNSMWOA),采用该算法对问题进行求解,并通过算例验证所提模型和算法的有效性。结果表明:快速非支配排序多目标鲸鱼优化算法在全局搜索能力和局部搜索能力上均取得较好的效果,实验得出帕累托解前沿解,并得到考虑不同优化目的的帕累托最优解方案,为高铁快运“站到门”配送优化提供一种新思路。Under the background of carbon peaking and carbon neutrality goals,there are high distribution costs,low service capability and difficulty in solving the terminal distribution in the“station-to-door”distribution stage of high speed railway(HSR)express.To solve these problems,combining with the characteristics of HSR express business,the Sigmoid drop index was introduced.The“station-to-door”distribution time satisfaction function was obtained through function transformation.The customer importance was determined by the first freight rate of different product types of HSR express.The multi-objective optimization model of the“station-to-door”distribution of HSR express was constructed with the goal of service satisfaction,transportation economic cost,and carbon emission.A fast non-dominated sorting multi-objective whale optimization algorithm(FNSMWOA)was proposed and designed to address the shortcomings of the whale optimization algorithm(WOA)that easily falls into local optimization solution.The algorithm was utilized to solve the problem.The effectiveness of the proposed model and algorithm was verified by an example.The results show that the FNSMWOA has performed better in both global search ability and local search ability.The Pareto solution frontier solution was obtained by experiments,with the Pareto optimal solution scheme considering different optimization purposes,which provides a new idea for the optimization of the“station-to-door”distribution of HSR express.

关 键 词：高铁快运 碳排放 时间满意度 “站到门” 多目标优化 鲸鱼优化算法 

分 类 号：U294.1[交通运输工程—交通运输规划与管理]