Multi-objective optimization for draft scheduling of hot strip mill

IMR OpenIR

	Multi-objective optimization for draft scheduling of hot strip mill
其他题名	Multi-objective optimization for draft scheduling of hot strip mill
	Li Weigang 1; Liu Xianghua 3; Guo Zhaohui 1
	2012
发表期刊	JOURNAL OF CENTRAL SOUTH UNIVERSITY
ISSN	2095-2899
卷号	19 期号:11 页码:3069-3078
摘要	A multi-objective optimization model for draft scheduling of hot strip mill was presented, rolling power minimizing, rolling force ratio distribution and good strip shape as the objective functions. A multi-objective differential evolution algorithm based on decomposition (MODE/D). The two-objective and three-objective optimization experiments were performed respectively to demonstrate the optimal solutions of trade-off. The simulation results show that MODE/D can obtain a good Pareto-optimal front, which suggests a series of alternative solutions to draft scheduling. The extreme Pareto solutions are found feasible and the centres of the Pareto fronts give a good compromise. The conflict exists between each two ones of three objectives. The final optimal solution is selected from the Pareto-optimal front by the importance of objectives, and it can achieve a better performance in all objective dimensions than the empirical solutions. Finally, the practical application cases confirm the feasibility of the multi-objective approach, and the optimal solutions can gain a better rolling stability than the empirical solutions, and strip flatness decreases from (0 +/- 163) IU to (0 +/- 45) IU in industrial production.
其他摘要	A multi-objective optimization model for draft scheduling of hot strip mill was presented, which considers rolling power minimizing, rolling force ratio distribution and good strip shape as the objective functions. A multi-objective differential evolution algorithm based on decomposition (MODE/D) was used to solve this model. The two-objective and three-objective optimization experiments were performed respectively to demonstrate the optimal solutions of trade-off. The simulation results show that MODE/D can obtain a good Pareto-optimal front, which suggests a series of alternative solutions to draft scheduling. The extreme Pareto solutions are found feasible and the centres of the Pareto fronts give a good compromise. The conflict exists between each two ones of three objectives. The final optimal solution is selected from the Pareto-optimal front by the importance of objectives, and it can achieve a better performance in all objective dimensions than the empirical solutions. Finally, the practical application cases confirm the feasibility of the multi-objective approach, and the optimal solutions can gain a better rolling stability than the empirical solutions, and strip flatness decreases from (0±163) IU to (0±45) IU in industrial production.
关键词	ALGORITHM hot strip mill draft scheduling multi-objective optimization multi-objective differential evolution algorithm based on decomposition (MODE/D) Pareto-optimal front
收录类别	CSCD
语种	英语
资助项目	[National Natural Science Foundation of China]
CSCD记录号	CSCD:4668485
引用统计
文献类型	期刊论文
条目标识符	http://ir.imr.ac.cn/handle/321006/143947
专题	中国科学院金属研究所
作者单位	1.东北大学 2.Baosteel Grp Corp, Res Institute, Automat Div, Shanghai 201900, Peoples R China 3.中国科学院金属研究所
推荐引用方式 GB/T 7714	Li Weigang,Liu Xianghua,Guo Zhaohui. Multi-objective optimization for draft scheduling of hot strip mill[J]. JOURNAL OF CENTRAL SOUTH UNIVERSITY,2012,19(11):3069-3078.
APA	Li Weigang,Liu Xianghua,&Guo Zhaohui.(2012).Multi-objective optimization for draft scheduling of hot strip mill.JOURNAL OF CENTRAL SOUTH UNIVERSITY,19(11),3069-3078.
MLA	Li Weigang,et al."Multi-objective optimization for draft scheduling of hot strip mill".JOURNAL OF CENTRAL SOUTH UNIVERSITY 19.11(2012):3069-3078.