Research on load scheduling of automatic warehouse system based on ant colony optimization algorithm

被引：0
|
作者：
Yue Wenli [1 ]
Yuan Qi [1 ]
Mei Hongbiao [1 ]
机构：
[1] Tongji Univ, CIMS Res Ctr, Shanghai 201804, Peoples R China
来源：
PROCEEDINGS OF THE 4TH INTERNATIONAL CONFERENCE ON INNOVATION & MANAGEMENT, VOLS I AND II | 2007年
关键词：
automatic warehouse system; load scheduling; job shop scheduling; ant colony optimization algorithm;
D O I：
暂无
中图分类号：
F [经济];
学科分类号：
02 ;
摘要：
This paper discusses the load scheduling of automatic warehouse system. Due to the similarity between truck loading and workshop production, the loading procedure is modeled as the Job-Shop problem. Based on the advantages of the ant colony optimization algorithm in dealing with combinatorial optimization problems, we propose all improved ant colony optimization algorithm to solve the load scheduling problem, and validate the results with simulation programs.
引用
收藏
页码：1665 / 1670
页数：6
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