基于混合遗传算法的农产品物流网络优化模型  

Optimization model of agricultural products logistics network based on hybrid genetic algorithm

作　　者：艾婷婷[1] AI Ting-ting(Hebei College of Industry and Technology Xuangang Branch,Zhangjiakou 075100,Hebei,China)

机构地区：[1]河北工业职业技术学院宣钢分院,河北张家口075100

出　　处：《湖北农业科学》2020年第18期133-138,142,共7页Hubei Agricultural Sciences

摘　　要：为了解决生鲜农产品物流配送系统的优化问题,考虑生鲜农产品保质期短的特点,结合农产品物流配送网络模型的整体优化思路,建立了基于混合遗传算法的冷链物流网络优化模型。该最优模型以物流网络的总运行成本为目标,引入碳税政策来分析碳税对总成本和碳排放的影响,证明碳税政策可以有效减少农产品物流网络中的CO2排放。通过实际案例分析获得的仿真结果表明,该模型为农产品物流企业提供了绿色环保的位置分配方案。In order to solve the optimization problem of fresh agricultural products logistics distribution system,considering the char⁃acteristics of short shelf life of fresh agricultural products,combined with the overall optimization idea of farm products logistics distri⁃bution network model,a cold chain logistics network optimization model based on hybrid genetic algorithm was established.This opti⁃mal model aims at the total operation cost of the logistics network,introduces carbon tax policy to analyze the impact of carbon tax on the total cost and carbon emissions,and proves that carbon tax policy can effectively reduce carbon dioxide emissions in the farm prod⁃ucts logistics network.The simulation results obtained from the actual case analysis show the applicability of the model,which pro⁃vides a green location allocation scheme for agricultural logistics enterprises.

关 键 词：农产品物流 位置路由问题 混合遗传算法 碳排放 

分 类 号：F274[经济管理—企业管理] TP18[经济管理—国民经济]