沈阳大学学报(自然科学版)2024,Vol.36Issue(1) :48-53.

基于智能算法的社区团购配送路径优化

Distribution Path Optimization of Community Group Purchase Based on Intelligent Algorithm

王丹 让桂芳
沈阳大学学报(自然科学版)2024,Vol.36Issue(1) :48-53.

基于智能算法的社区团购配送路径优化

Distribution Path Optimization of Community Group Purchase Based on Intelligent Algorithm

王丹 1让桂芳1
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作者信息

  • 1. 沈阳大学 装备制造综合自动化重点实验室,辽宁 沈阳 110044
  • 折叠

摘要

在线上购物配送环节中,综合考虑了碳排放成本、运输成本、货损成本、制冷成本、时间窗惩罚成本等多种成本因素,构建以总成本最小为目标的社区团购配送车辆路径优化模型.利用智能算法——鲸鱼算法,对配送路径进行优化,验证了该算法的搜索能力和收敛性.

Abstract

In the distribution link of online shopping,various cost factors such as carbon emission cost,transportation cost,cargo damage cost,refrigeration cost,and time window penalty cost were comprehensively considered,and a community group purchase and distribution vehicle path optimization model with the goal of minimizing the total cost was constructed.The intelligent algorithm,whale algorithm,was used to optimize the distribution path,and the search ability and convergence of the algorithm were verified.

关键词

冷链物流/配送路径/鲸鱼算法/社区团购/低碳

Key words

cold chain logistics/distribution path/whale algorithm/community group buying/low carbon

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基金项目

国家自然科学基金资助项目(61873338)

中国博士后基金资助项目(2018M630303)

出版年

2024
沈阳大学学报(自然科学版)
沈阳大学

沈阳大学学报(自然科学版)

CSTPCD
影响因子:0.475
ISSN:2095-5456
参考文献量19
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