DocumentCode
176966
Title
Genetic algorithm based scheduling model of continuous casting crystallizer copper electroplating
Author
Zhen Zhao ; Haihong Wang ; Naiping Hu
Author_Institution
Coll. of Inf. Sci. & Technol., Qingdao Univ. of Sci. & Technol., Qingdao, China
fYear
2014
fDate
May 31 2014-June 2 2014
Firstpage
4465
Lastpage
4468
Abstract
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.
Keywords
casting; copper; electroplating; genetic algorithms; maintenance engineering; scheduling; continuous casting; crystallizer copper electroplating; genetic algorithm; heuristic algorithm; production scheduling; repair process; scheduling model; Algorithm design and analysis; Billets; Copper; Crystallizers; Genetic algorithms; Heuristic algorithms; Scheduling; Genetic Algorithm; copper; electroplate; scheduling;
fLanguage
English
Publisher
ieee
Conference_Titel
Control and Decision Conference (2014 CCDC), The 26th Chinese
Conference_Location
Changsha
Print_ISBN
978-1-4799-3707-3
Type
conf
DOI
10.1109/CCDC.2014.6852967
Filename
6852967
Link To Document