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Multi-Objective Load Distribution Optimization for Hot Strip Mills
Alternative TitleMulti-Objective Load Distribution Optimization for Hot Strip Mills
Jia Shujin1; Li Weigang2; Liu Xianghua4; Du Bin1
2013
Source PublicationJOURNAL OF IRON AND STEEL RESEARCH INTERNATIONAL
ISSN1006-706X
Volume20Issue:2Pages:27-+
AbstractLoad distribution is a key technology in hot strip rolling process, which directly influences strip product quality. A multi-objective load distribution model, which takes into account the rolling force margin balance, roll wear ratio and strip shape control, is presented. To avoid the selection of weight coefficients encountered in single objective optimization, a multi-objective differential evolutionary algorithm, called MaximinDE, is proposed to solve this model. The experimental results based on practical production data indicate that MaximinDE can obtain a good pareto-optimal solution set, which consists of a series of alternative solutions to load distribution. Decision-makers can select a trade-off solution from the pareto-optimal solution set based on their experience or the importance of objectives. In comparison with the empirical load distribution solution, the trade-off solution can achieve a better performance, which demonstrates the effectiveness of the multi-objective load distribution optimization. Moreover, the conflicting relationship among different objectives can be also found, which is another advantage of multi-objective load distribution optimization.
Other AbstractLoad distribution is a key technology in hot strip rolling process, which directly influences strip product quality. A multi-objective load distribution model, which takes into account the rolling force margin balance, roll wear ratio and strip shape control, is presented. To avoid the selection of weight coefficients encountered in single objective optimization, a multi-objective differential evolutionary algorithm, called MaximinDE, is proposed to solve this model. The experimental results based on practical production data indicate that MaximinDE can obtain a good pareto-optimal solution set, which consists of a series of alternative solutions to load distribution. Decision-makers can select a trade-off solution from the pareto-optimal solution set based on their experience or the importance of objectives. In comparison with the empirical load distribution solution, the trade-off solution can achieve a better performance, which demonstrates the effectiveness of the multi-objective load distribution optimization. Moreover, the conflicting relationship among different objectives can be also found, which is another advantage of multi-objective load distribution optimization.
KeywordALGORITHM hot strip mill load distribution multi-objective optimization
Indexed ByCSCD
Language英语
Funding Project[National Natural Science Foundation of China]
CSCD IDCSCD:4797576
Citation statistics
Cited Times:5[CSCD]   [CSCD Record]
Document Type期刊论文
Identifierhttp://ir.imr.ac.cn/handle/321006/157478
Collection中国科学院金属研究所
Affiliation1.上海交通大学
2.Baosteel Grp Corp, Automat Div, Res Institute, Shanghai 201900, Peoples R China
3.东北大学
4.中国科学院金属研究所
Recommended Citation
GB/T 7714
Jia Shujin,Li Weigang,Liu Xianghua,et al. Multi-Objective Load Distribution Optimization for Hot Strip Mills[J]. JOURNAL OF IRON AND STEEL RESEARCH INTERNATIONAL,2013,20(2):27-+.
APA Jia Shujin,Li Weigang,Liu Xianghua,&Du Bin.(2013).Multi-Objective Load Distribution Optimization for Hot Strip Mills.JOURNAL OF IRON AND STEEL RESEARCH INTERNATIONAL,20(2),27-+.
MLA Jia Shujin,et al."Multi-Objective Load Distribution Optimization for Hot Strip Mills".JOURNAL OF IRON AND STEEL RESEARCH INTERNATIONAL 20.2(2013):27-+.
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