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Multi-objective optimization for draft scheduling of hot strip mill
Alternative TitleMulti-objective optimization for draft scheduling of hot strip mill
Li Weigang1; Liu Xianghua3; Guo Zhaohui1
2012
Source PublicationJOURNAL OF CENTRAL SOUTH UNIVERSITY
ISSN2095-2899
Volume19Issue:11Pages:3069-3078
AbstractA 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.
Other AbstractA 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.
KeywordALGORITHM hot strip mill draft scheduling multi-objective optimization multi-objective differential evolution algorithm based on decomposition (MODE/D) Pareto-optimal front
Indexed ByCSCD
Language英语
Funding Project[National Natural Science Foundation of China]
CSCD IDCSCD:4668485
Citation statistics
Document Type期刊论文
Identifierhttp://ir.imr.ac.cn/handle/321006/143947
Collection中国科学院金属研究所
Affiliation1.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
Recommended Citation
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.
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