基于FWA及ABC的冷链物流配送路径优化模型  

Optimization Model of Cold Chain Logistics Distribution Path Based on FWA and ABC

作　　者：戴萍 DAI Ping(Hefei Information Technology Vocational College,Anhui,Hefei 230601)

机构地区：[1]合肥信息技术职业学院,安徽合肥230601

出　　处：《贵阳学院学报(自然科学版)》2025年第1期53-58,共6页Journal of Guiyang University:Natural Sciences

基　　金：安徽省质量工程项目一流核心课程“物流数据分析与应用”(2023hxkc176)。

摘　　要：针对现有冷链物流多采用纸质单据和手工录入,依靠人工配送、缺乏信息化,从而造成冷链物流配送效率低下,容易出现运输路径错误等问题,提出采用人工蜂群算法来构建冷链物流的配送模型,并在此基础上引入烟花爆炸算法与k领域策略进行改进,构建出优化模型。实验结果发现,优化后的模型在Sphere Function函数上的最优值为0.00E+00,平均值为2.13E-97,标准差为4.85E-96。在Ackley’s Function函数上分别为5.94E-13,5.25E-08,7.45E-09。此外,在实例验证中,该模型所提供路径的总成本最低。综合表明,该模型能对冷链物流配送路径进行良好优化。In response to the current cold chain logistics that mostly uses paper documents and manual input,relies on manual delivery,and lacks information technology,resulting in low efficiency in cold chain logistics delivery and easy occurrence of transportation path errors,this study proposes to use artificial bee colony algorithm to construct a distribution model for cold chain logistics,and on this basis,introduces fireworks explosion algorithm and k-domain strategy for improvement,and constructs an optimization model.The experimental results showed that the optimized model had an optimal value of 0.00E+00 on the Sphere Function function,an average value of 2.13E-97,and a standard deviation of 4.85E-96.On Ackley’s Function function,they are 5.94E-13,5.25E-08,and 7.45E-09,respectively.In addition,in the instance verification,the path provided by the model has the lowest total cost.Overall,the model can effectively optimize the cold chain logistics distribution path.

关 键 词：冷链物流 人工蜂群算法 烟花爆炸算法 k邻域 路径优化 

分 类 号：TB973[一般工业技术—计量学]