Genetic Algorithm Based Scheduling Model of Continuous Casting Crystallizer Copper Electroplating

被引：0
|
作者：
Zhao, Zhen [1 ]
Wang, Haihong [1 ]
Hu, Naiping [1 ]
机构：
[1] Qingdao Univ Sci & Technol, Coll Informat Sci & Technol, Qingdao, Peoples R China
来源：
26TH CHINESE CONTROL AND DECISION CONFERENCE (2014 CCDC) | 2014年
关键词：
Genetic Algorithm; scheduling; copper; electroplate; INHERENTLY PARALLEL METHOD;
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：
According to the bottleneck process- copper electroplating of the repair process for continuous casting crystallizer copper, a genetic algorithm is designed to solve its scheduling problem, including the coding, the decoding, the crossover and mutation. Through the analysis of simulation experiments, compared with the use of the manual mode and the heuristic algorithm, the genetic algorithm shows a better performance. Finally, the algorithm is applied to the practical production scheduling, and obtains a good application effect.
引用
收藏
页码：4465 / 4468
页数：4
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