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

doi:10.13195/j.kzyjc.2012.1911

IR > 机电工程学院

	Blending and loading problem of molten aluminum and hybrid genetic algorithm optimization
	Li, Jian-Hua1 ; Wei, Xing 1; Rui, Zhi-Yuan1,2 ; Wang, Xiao-Dong 3
	2014-05-01
发表期刊	Kongzhi yu Juece/Control and Decision
ISSN	10010920
卷号	29 期号:5 页码:933-936
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.
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
DOI	10.13195/j.kzyjc.2012.1911
收录类别	EI
语种	中文
出版者	Northeast University
EI入藏号	20142217774546
EI主题词	Scheduling algorithms
EI分类号	541.1 Aluminum - 801.4.1 Electrochemistry - 802.3 Chemical Operations - 912.2 Management
来源库	Compendex
分类代码	541.1 Aluminum - 801.4.1 Electrochemistry - 802.3 Chemical Operations - 912.2 Management
引用统计	无
文献类型	期刊论文
条目标识符	https://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.School of Mechanical and Electronical Engineering, Lanzhou University of Technology, Lanzhou 730050, China; 2.Engineering Research Center of Nonferrous Metallurgy's New Equipment, Ministry of Education, Lanzhou 730050, China; 3.Aluminum Corporation of China Limited Lanzhou Branch, Lanzhou 730060, China
第一作者单位	兰州理工大学
第一作者的第一单位	兰州理工大学
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.