Blending and loading problem of molten aluminum and hybrid genetic algorithm optimization

doi:10.13195/j.kzyjc.2012.1911

CORC > 兰州理工大学 > 兰州理工大学 > 机电工程学院

	Blending and loading problem of molten aluminum and hybrid genetic algorithm optimization
	Li, Jian-Hua 2; Wei, Xing 2; Rui, Zhi-Yuan 1,2; Wang, Xiao-Dong 3
刊名	Kongzhi yu Juece/Control and Decision
	2014-05-01
卷号	29 期号:5 页码:933-936
关键词	Aluminum Blending Electrolytic analysis Electrolytic cells Genetic algorithms Scheduling Crossover operator Electrolytic aluminum Electrolyzers Fitness functions Hybrid genetic algorithms Hybrid optimization Mutation operators Process scheduling
ISSN号	10010920
DOI	10.13195/j.kzyjc.2012.1911
英文摘要	A hybrid optimization strategy genetic algorithm is put forward to solve the problem of blending electrolyzer and aluminum scheduling in the electrolytic aluminum production process based on the mathematical model analysis. Artificial experience is used in order to rule out special case. The fitness function is optimized by the path of aluminum scheduling. The crossover operators are designed to implement the transformation of electrolyzer combination and the mutation operators are designed to change the route of loading. The effectiveness for the proposed method is demonstrated by 3 optimization examples of electrolyzer from a northwest aluminum plant of China.
语种	中文
出版者	Northeast University
内容类型	期刊论文
源URL	[http://ir.lut.edu.cn/handle/2XXMBERH/113688]
专题	机电工程学院兰州理工大学
作者单位	1.Engineering Research Center of Nonferrous Metallurgy's New Equipment, Ministry of Education, Lanzhou 730050, China; 2.School of Mechanical and Electronical Engineering, Lanzhou University of Technology, Lanzhou 730050, China; 3.Aluminum Corporation of China Limited Lanzhou Branch, Lanzhou 730060, China
推荐引用方式 GB/T 7714	Li, Jian-Hua,Wei, Xing,Rui, Zhi-Yuan,et al. Blending and loading problem of molten aluminum and hybrid genetic algorithm optimization[J]. Kongzhi yu Juece/Control and Decision,2014,29(5):933-936.
APA	Li, Jian-Hua,Wei, Xing,Rui, Zhi-Yuan,&Wang, Xiao-Dong.(2014).Blending and loading problem of molten aluminum and hybrid genetic algorithm optimization.Kongzhi yu Juece/Control and Decision,29(5),933-936.
MLA	Li, Jian-Hua,et al."Blending and loading problem of molten aluminum and hybrid genetic algorithm optimization".Kongzhi yu Juece/Control and Decision 29.5(2014):933-936.