摘要
本文考虑了多数没有考虑的实际路况与路面情况这些复杂路况下的配送成本,同时秉承着低碳绿色的理念,将碳排放因素考虑到总配送路径成本中,采用改进粒子群算法求解,以配送成本和货损率最小为分析依据,分析求解结果。以浙江义乌某冷链中心为研究对象进行冷链运输车辆配送路径优化,将优化后的成本与原方案成本进行实验对比,结果表明货损率、碳排放量与总成本均降低了约4%到15%。
This paper considers the most papers did not consider the actual road conditions and road conditions distribution cost analysis of these complex road conditions,uphold the concept of low carbon green at the same time,the carbon emission factor considering the total distribution in the path cost,with the improved particle swarm algorithm,the minimum distribution costs and damage rate as the analysis on the basis of analysis results. Taking a cold chain center in Yiwu,Zhejiang Province as the research object,the distribution path optimization of cold chain transportation vehicles was carried out. The optimized cost was compared with the original scheme cost and other comparative experiments. The results showed that cargo loss rate,carbon emission and total cost were all reduced by about4% to15%.
作者
马丽
茅健
阮大文
路玉凤
MA Li;MAO Jian;RUAN Dawen;LU Yufeng(School of Mechanical and Automotive Engineering,Shanghai University of Engineering Science,Shanghai 201620,China)
出处
《智能计算机与应用》
2021年第5期143-146,151,共5页
Intelligent Computer and Applications
关键词
冷链运输
改进粒子群算法
车辆配送路径优化
碳排放因素
cold chain transport
improved particle swarm optimization
vehicle distribution path optimization
carbon emission factor