Research on Path Optimization of Automated Warehouse Based on Ant Colony Algorithm

被引：0
|
作者：
Li, Haoping [1 ]
Fang, Zifan [1 ]
Wang, Ying [1 ]
机构：
[1] Three Gorges Univ, Coll Mech & Mat, Yichang, Peoples R China
来源：
ADVANCED MANUFACTURING SYSTEMS, PTS 1-3 | 2011年 / 201-203卷
关键词：
Automated Warehouse; Path Optimization; Ant Colony Algorithm;
D O I：
10.4028/www.scientific.net/AMR.201-203.1112
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
Based on analysis of the cargo selecting strategy of fixed shelf automated warehouse, the idea of path optimization is put forward and the stacker path optimization method is studied. A mathematical model of stacker operation path optimization is built to minimize the length of operation path and the operation time. The model is solved by using the ant colony optimization method. Simulation shows that chosen stacker operation path by using the optimization model and optimization algorithm, can not only reduce energy consumption and warehouse operating costs, but also improve the efficiency of goods storage.
引用
收藏
页码：1112 / 1115
页数：4
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