微型电脑应用2024,Vol.40Issue(8) :29-32.

乡村振兴战略下低碳农产品物流配送路径优化

Optimization of Low-carbon Agricultural Products Logistics Distribution Path under the Rural Revitalization Strategy

王晓雅 李博 党养性 甘海波
微型电脑应用2024,Vol.40Issue(8) :29-32.

乡村振兴战略下低碳农产品物流配送路径优化

Optimization of Low-carbon Agricultural Products Logistics Distribution Path under the Rural Revitalization Strategy

王晓雅 1李博 1党养性 1甘海波2
扫码查看

作者信息

  • 1. 杨凌职业技术学院,经济与贸易学院,陕西,杨凌 712100
  • 2. 大连理工大学,化学工程学院,辽宁,大连 116024
  • 折叠

摘要

对如何降低乡村主要碳排放源之一的农产品物流进行研究,通过分析农产品配送作业环节产生二氧化碳和成本的因素,分别建立农产品配送物流碳排放模型和成本模型.采用基于自适应交叉变异的改进多目标粒子群算法对模型进行求解,并以周至县猕猴桃物流配送为例对算法进行验证.根据求解的Pareto优化结果得到农产品物流配送路径多种联合优化方案,即物流企业可以根据政府对碳排放量的限制以及自身经营目标选择合适的优化方案.

Abstract

How to reduce agricultural product logistics,one of the main carbon emission sources in rural areas.By analyzing the factors of carbon dioxide and cost in the process of agricultural product distribution,this paper establishes the carbon emission model and cost model of agricultural product distribution logistics respectively.The improved multi-objective particle swarm optimization algorithm based on adaptive cross mutation is used to solve the model,and the algorithm is verified by taking kiwi fruit logistics distribution in Zhouzhi County as an example.According to the Pareto optimization results,a variety of joint op-timization schemes for the logistics distribution path of agricultural products are obtained,that is,logistics enterprises can choose the appropriate optimization scheme according to the government's restrictions on carbon emissions and their own busi-ness objectives.

关键词

乡村振兴/低碳农产品物流/配送路径优化/改进多目标粒子群算法

Key words

rural revitalization/low-carbon agricultural product logistics/distribution path optimization/improved multi-objec-tive particle swarm algorithm

引用本文复制引用

基金项目

陕西职业教育乡村振兴研究院2022年度研究课题(22ZD001)

2021年陕西高等职业教育教学改革研究重点攻关项目(21GG001)

杨凌职业技术学院2021年院内人文社科项目(SK21-27)

杨凌职业技术学院2022年院内科技创新项目(ZK22-77)

出版年

2024
微型电脑应用
上海市微型电脑应用学会

微型电脑应用

CSTPCD
影响因子:0.359
ISSN:1007-757X
参考文献量3
段落导航相关论文