微型机与应用2016，Vol.35Issue(24)：91-93,100,4.DOI:10.19358/j.issn.1674-7720.2016.24.026
PSO-GA-ACO算法在冷链物流配送路径优化中的应用∗
PSO-GA-ACO algorithm used in cold chain logistics distribution route optimization
摘要
Abstract
With the rapid development of modern logistics industry, cold chain logistics industry also has developed rapidly. In cold chain logis-tics research, distribution routing optimization problem plays a crucial role for the development of cold logistics chain. In view of the suceessful application of ant colony algorithm in the path optimization, it applies the ant colony algorithm to cold chain logistics distribution routing prob-lem. Taking into account the problems of ant colony algorithm when running, it introduces genetic algorithm and particle swarm algorithm into the ant colony algorithm, forming PSO-GA-ACO algorithm based cold chain logistics distribution routing optimization algorithm. The experimen-tal results show that this idea is feasible, and can effectively improve the algorithm efficiency, shorten delivery distances, and increase econom-ic efficiency.关键词
蚁群算法/遗传算法/粒子群算法/物流/路径优化Key words
ant colony algorithm/genetic algorithm/particle swarm optimization/supply chain/path optimization分类
信息技术与安全科学引用本文复制引用
王海军..PSO-GA-ACO算法在冷链物流配送路径优化中的应用∗[J].微型机与应用,2016,35(24):91-93,100,4.基金项目
内蒙古自治区高等学校科学研究项目(NJZY16382) （NJZY16382）
