Multi-Objective Load Distribution Optimization for Hot Strip Mills | |
Alternative Title | Multi-Objective Load Distribution Optimization for Hot Strip Mills |
Jia Shujin1; Li Weigang2; Liu Xianghua4; Du Bin1 | |
2013 | |
Source Publication | JOURNAL OF IRON AND STEEL RESEARCH INTERNATIONAL
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ISSN | 1006-706X |
Volume | 20Issue:2Pages:27-+ |
Abstract | Load 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 Abstract | Load 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. |
Keyword | ALGORITHM hot strip mill load distribution multi-objective optimization |
Indexed By | CSCD |
Language | 英语 |
Funding Project | [National Natural Science Foundation of China] |
CSCD ID | CSCD:4797576 |
Citation statistics |
Cited Times:5[CSCD]
[CSCD Record]
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Document Type | 期刊论文 |
Identifier | http://ir.imr.ac.cn/handle/321006/157478 |
Collection | 中国科学院金属研究所 |
Affiliation | 1.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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