考虑混合车队的多中心生鲜产品配送路径优化  

Optimization of multi-center fresh product distribution route considering mixed fleet

作　　者：温廷新[1,2] 孟昊廷 WEN Tingxin;MENG Haoting(School of Business Administration,Liaoning Technical University,Huludao 125100,China;Erdos Research Institute,Liaoning Technical University,Erdos 017008,China)

机构地区：[1]辽宁工程技术大学工商管理学院,辽宁葫芦岛125100 [2]辽宁工程技术大学鄂尔多斯研究院,内蒙古鄂尔多斯017008

出　　处：《交通科技与经济》2025年第2期9-16,共8页Technology & Economy in Areas of Communications

基　　金：国家自然科学基金项目(71771111);辽宁工程技术大学鄂尔多斯研究院校地科技合作培育项目(YJY-XD-2024-B-013)。

摘　　要：为解决生鲜产品配送过程中能源消耗成本过高问题,以车辆固定成本、车辆运输成本、货损成本、制冷成本、能源消耗成本以及惩罚成本之和最小化为目标,构建总成本最小化的混合整数规划模型。设计基于混合策略的改进鲸鱼算法,应用拉丁超立方体初始化种群、非线性收敛因子、Levy飞行策略及教与学算法的随机性学习策略,改进原算法的种群分布均匀度、寻优性能和跳出局部最优能力。根据算例对比实验,证明该算法的有效性,并揭示车队配置、车队规模以及配送方式对总成本的影响。实验结果表明:改进后的混合车队比原车队求解结果的总成本节约1103.4494元,车辆装载率增加38.08%。In order to solve the problem of high energy consumption cost in the distribution process of fresh products,a cold chain distribution path optimization model of fresh products in multi-distribution center mixed fleet is constructed.A mixed integer programming model for minimizing the total cost is constructed by minimizing the sum of vehicle fixed cost,vehicle transportation cost,cargo damage cost,refrigeration cost,energy consumption cost and penalty cost.An improved whale algorithm based on hybrid strategy is designed.The Latin hypercube initialization population,nonlinear convergence factor,Levy flight strategy and random learning strategy of teaching and learning algorithm are used to improve the population distribution uniformity,optimization performance and ability to jump out of local optimum of the original algorithm.According to the example comparison experiment,the effectiveness of the algorithm is proved,and the influence of fleet configuration,fleet size and distribution mode on the total cost is revealed.The experimental results show that the total cost of the improved mixed fleet is 1103.4494 yuan less than that of the original fleet,and the vehicle loading rate is increased by 38.08%.

关 键 词：交通运输经济 路径优化 改进鲸鱼算法 生鲜产品 冷链物流 

分 类 号：U492.22[交通运输工程—交通运输规划与管理]