枣庄学院学报2024,Vol.41Issue(2) :95-106,121.

考虑碳排放的冷链物流配送路径优化

Cold Chain Logistics Distribution Route Optimization Considering Carbon Emission

程元栋 刘天
枣庄学院学报2024,Vol.41Issue(2) :95-106,121.

考虑碳排放的冷链物流配送路径优化

Cold Chain Logistics Distribution Route Optimization Considering Carbon Emission

程元栋 1刘天1
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作者信息

  • 1. 安徽理工大学经济与管理学院,安徽淮南 232001
  • 折叠

摘要

在考虑传统经济成本的基础上增加考虑配送过程中可能产出的碳排放,并将其以碳排放成本的形式融入到目标函数中,建立考虑碳排放的冷链物流配送模型.通过动态调整启发因子和自适应信息素挥发因子对传统蚁群算法进行优化,提出一种新的改进蚁群算法.通过算例,将考虑碳排放与不考虑碳排放、改进与未改进蚁群算法的情况进行对比.结果表明,该模型和算法具有较好的寻优和收敛能力,可提高冷链物流企业经济效益.

Abstract

The traditional economic cost is taken into consideration as the basis,and in addition,the potential carbon emis-sions during the distribution process are also taken into account.These carbon emissions are integrated into the objective func-tion as a carbon emission cost,resulting in the establishment of a cold chain logistics distribution model that takes carbon emis-sions into consideration.Furthermore,An improved ant colony algorithm is proposed by dynamically adjusting heuristic factors and pheromone updating strategies to optimize the traditional ant colony algorithm.Examples are provided to compare the per-formance of both versions of the ant colony algorithm with and without considering carbon emissions,as well as with and with-out using the improved version.The results demonstrate that both the model and algorithm exhibit superior optimization and con-vergence capabilities,thereby offering valuable insights for enhancing economic benefits within cold chain logistics enterprises.

关键词

冷链物流/碳排放/路径优化/蚁群算法/生鲜农产品

Key words

cold chain logistics/carbon emission/path optimization/ant colony algorithm/fresh agricultural product

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基金项目

国家自然科学基金(71473001)

安徽省哲学社会科学规划项目(AHSKY2017D35)

出版年

2024
枣庄学院学报
枣庄学院

枣庄学院学报

CHSSCD
影响因子:0.219
ISSN:1004-7077
参考文献量16
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