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| Optimization of rolling schedule based on improve immune clone multi- objective algorithm |
| ZHAO Xin- qiu1,2，MENG Qing- gang1，YANG Jing- ming1,2，CHE Hai- jun1,2 |
1. Key Laboratory of Industrial Computer Control Engineering of Hebei Province，Yanshan University，Qinhuangdao 066004，Hebei，China
2. National Engineering Research Center for Equipment and Technology of Cold Strip Rolling，Yanshan University，Qinhuangdao 066004，Hebei，China） |
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Abstract Rolling schedule is set by the model of optimize first and then choice to solve the difficult problem of select weight，because there is coupling and restrict each other between objective functions. In order to improve the efficiency of mill，improve the plate shape and surface quality，selecting the power distribution，excellent flatness and the slip rate as objective functions，The rolling schedule of steel cold rolling mill in Tangshan is optimized by Improve Immune Clone Multi- objective Algorithm（IICMA）. The experiment results show that IICMA can guarantee convergence and improve the distribution degree of the population at the same time；and the optimized different preferences rolling schedules can meet the requirements of different choices. Compared with the original procedures，the use of the mill is more reasonable，flatness is better and the slip rate reduces to an acceptable level.
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Received: 14 October 2014
Published: 18 August 2015
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