Optimization of Automated Warehouse Location Based on Genetic Algorithm

被引：0
|
作者：
Wang, Wanlei [1 ]
Gao, Jian [1 ]
Gao, Tianyi [1 ]
Zhao, Haiting [1 ]
机构：
[1] Dalian Nationalities Univ, Dalian, Liaoning, Peoples R China
来源：
PROCEEDINGS OF THE 2017 2ND INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION AND ARTIFICIAL INTELLIGENCE (CAAI 2017) | 2017年 / 134卷
关键词：
logistics; location assignment; genetic algorithm; automated warehouse;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The automated warehouse built in many enterprises still need through manual intervention or random allocation method for distribution of goods allocation. This distribution does not guarantee that the utilization rate of warehouse is high, especially when more types and a large number of goods, need more scientific and reasonable scheme for the storage of goods, and enhance great application value and practical significance for the competitiveness of enterprises. In order to improve the efficiency and utilization of automated warehouse, we take automated warehouse as the object to study the optimization of the storage location of goods based on the genetic algorithm in this paper.
引用
收藏
页码：309 / 313
页数：5
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