摘要
本文针对目前冷链配送路径优化中存在的综合配送成本考虑不全面的问题,根据生鲜冷链配送特点,考虑基本运输成本、制冷、货损以及时间窗约束等条件,建立以综合配送成本和满意度为目标的路径优化模型,提出改进鲸鱼优化算法对该优化模型进行求解。在初始阶段使用Tent混沌对算法进行初始化,自适应因子改进包围捕食行为,惯性权重改进气泡攻击行为。仿真实验中,以农产品物流园的冷链物流配送中心作为研究对象,通过对比发现该算法在物流成本方面相比于WOA(whale optimization algorithm)、CWOA、HWOA分别降低了10.24%、2.26%、3.44%,在客户满意度方面分别提升了24.0%、6.9%和4.4%,说明本文提出的路径规划模型具有明显的提升效果。
Aiming at the problem of incomplete consideration of comprehensive distribution cost in the current cold chain distribution path optimisation,according to the characteristics of fresh cold chain distribution,considering the basic transportation cost,refrigeration,cargo loss and time window constraints and other conditions,this paper establish a path optimisation model with comprehensive distribution cost and satisfaction as the goal,and propose an improved whale optimisation algorithm to solve the optimisation model.Tent chaos is used to initialise the algorithm in the initial stage,adaptive factors to improve the encircling predation behaviour,and inertia weights to improve the bubble attack behaviour.In the simulation experiment,the cold chain logistics and distribution centre of the agricultural products logistics park is taken as the research object,and it is found through comparison that the algorithm reduces 10.24%,2.26%,and 3.44%in terms of logistics cost compared with WOA(whale optimization algorithm),CWOA,and HWOA,and improves 24.0%,6.9%,and 4.4%in terms of customer satisfaction,respectively,which indicates that the proposed path planning model has an obvious enhancement effectiveness.
作者
陈晔娜
陈暄
Chen Yena;Chen Xuan(Zhejiang Industry Polytechnic College,Shaoxing 312099,Zhejiang,China)
出处
《科技通报》
2024年第12期65-70,共6页
Bulletin of Science and Technology
基金
绍兴市哲学社会科学研究“十四五”规划2024年度重点课题-基地智库学会专项课题(145J092)。
关键词
冷链配送
物流
鲸鱼优化算法
cold chain distribution
logistics
whale optimization algorithm
