文献类型：期刊文献

中文题名：基于重心分区的蚁群算法物流配送优化路径研究

英文题名：Research on logistics distribution path optimization using an ant colony algorithm based on gravity center partition

作者：杨杰 黄政 道蓉 石雨 丰蕊

第一作者：杨杰

机构：[1]贵州理工学院交通工程学院,贵阳550003

第一机构：贵州理工学院交通工程学院

年份：2025

卷号：18

期号：2

起止页码：165-168

中文期刊名：中国科技论文在线精品论文

外文期刊名：Highlights of Sciencepaper Online

基金：2022年贵州省教育厅自然科学研究项目(黔教合KY字[2022]357号)。

语种：中文

中文关键词：交通运输经济学;技术经济学;路径优化;重心分区;层次分析法;蚁群算法

外文关键词：transportation economics;economics of commercial and logistics technology;path optimization;division of center of gravity;analytic hierarchy process;ant colony optimization algorithms

摘要：当前,随着物流行业的规模不断扩大,对于配送效率的关注度也在与日俱增,在此背景下,如何选取最优物流配送路线已成为提升物流配送效率的关键。文章针对物流配送的路径优化,采用重心分区法科学划分了配送区域,分割出多个相对独立且具有一定相似性的子区域,层次分析法进行区域配送中心的选址,基于蚁群算法的路径优化模型进行求解,在多次迭代中逐步收敛获取最优路径。通过本方案的实施,对提升物流配送效率、降低运输成本具有重要的现实意义与应用价值。
In today's era,the scale of the logistics industry is constantly expanding,and countries'attention to environmental protection is also increasing day by day.Against this backdrop,how to choose the optimal logistics distribution route has become the key to improving logistics distribution efficiency.This article focuses on the path optimization of logistics distribution,using the center of gravity partitioning method to scientifically divide the distribution area,dividing it into multiple relatively independent and similar sub regions.The Analytic Hierarchy Process is used to select the location of regional distribution centers,and the path optimization model based on ant colony algorithm is solved.The optimal path is gradually converged through multiple iterations.Through the implementation of this plan,it improves logistics distribution efficiency,and has important practical significance and application value.