信息工程大学学报2024，Vol.25Issue(4)：423-427,5.DOI:10.3969/j.issn.1671-0673.2024.04.008
基于PSO-GA算法的后方仓库货位分配优化
Optimization of Location Allocation in Rear Warehouse Based on PSO-GA Algorithm
邱雄飞 1张桦 1赵润泽2
作者信息
- 1. 陆军工程大学石家庄校区,河北石家庄 050003
- 2. 陆军工程大学石家庄校区,河北石家庄 050003||陆军装备部驻石家庄地区第三军事代表室,河北石家庄 050051
- 折叠
摘要
Abstract
To address the problem of inefficient allocation of cargo space in the rear warehouse of the current army,a hybrid solution model of particle swarm optimization(PSO)algorithm and genetic algo-rithm(GA)is established.Simulation analysis shows that the hybrid algorithm has certain advantages compared with the traditional PSO and GA algorithms,which can effectively improve the efficiency of warehouse operation and shelf stability.It has certain theoretical value and practical significance for the research of location allocation in the rear warehouse.关键词
后方仓库/货位分配/粒子群算法/遗传算法/多目标优化Key words
rear warehouse/location allocation/particle swarm optimization algorithm/genetic algo-rithm/multiobjective optimization分类
信息技术与安全科学引用本文复制引用
邱雄飞,张桦,赵润泽..基于PSO-GA算法的后方仓库货位分配优化[J].信息工程大学学报,2024,25(4):423-427,5.
