THE HYBRID APPROACH OF LCO AND SA TO SOLVE JOB-SHOP SCHEDULING PROBLEM

被引:0
|
作者
Tamura, Yasumasa [1 ]
Suzuki, Ikuo [1 ]
Yamamoto, Masahito [1 ]
Furukawa, Masashi [1 ]
机构
[1] Hokkaido Univ, Fac Engn, Autonomous Syst Engn Lab, Kita Ku, Sapporo, Hokkaido 0600814, Japan
关键词
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
A Job-shop Scheduling Problem (JSP) is one of the combinatorial optimization problems. JSP appears as a basic scheduling problem in many situations of a manufacturing system and many methods for JSP have been invented. This study examines two effective methods, SA and LCO, for JSP and propose a hybrid method based on them. As a result of the experiments, the proposed method can find a good solution with short computational time. And the proposed method can hold the variance of the solutions less than the fundamental methods. Summarizing this study, the proposed method can find a good solution efficiently and stably.
引用
收藏
页码:337 / 344
页数:8
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