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
fDate :
May 31 2014-June 2 2014
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;
Conference_Titel :
Control and Decision Conference (2014 CCDC), The 26th Chinese
Conference_Location :
Changsha
Print_ISBN :
978-1-4799-3707-3
DOI :
10.1109/CCDC.2014.6852967