帮助 关于我们

返回检索结果

Multi-Objective Load Distribution Optimization for Hot Strip Mills

查看参考文献12篇

文摘 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.
来源 Journal of Iron and Steel Research , International,2013,20(2):27-32,61 【核心库】
DOI 10.1016/s1006-706x(13)60052-7
关键词 hot strip mill ; load distribution ; multi-objective optimization
地址

1. Shanghai Jiao Tong University, Department of Automation and Key Laboratory of System Control and Information Processing, Ministry of Education, Shanghai, 200240  

2. Automation Division of Research Institute, Baosteel Group Corporation, Shanghai, 201900  

3. Research Institute of Science and Technology, Northeastern University, Liaoning, Shenyang, 110819

语种 英文
文献类型 研究性论文
ISSN 1006-706X
学科 金属学与金属工艺
基金 国家自然科学基金
文献收藏号 CSCD:4797576

参考文献 共 12 共1页

1.  Li Haijun. Improvement on Conventional Load Distribution Algorithm in Hot Tandem Mills. Journal of Iron and Steel Research, International,2007,14(2):36 被引 8    
2.  Zhang Jinzhi. Analysis and Summarization of Load Distribution. Wide and Heavy Plate, (in Chinese),2004,10(3):14 被引 1    
3.  Wang Yan. Immune Genetic Algorithm (IGA)Based Scheduling Optimization for Finisher. Journal of University of Science and Technology Beijing, (in Chinese),2002,24(3):339 被引 1    
4.  Wang Jianhui. Improved PSO and Its Application to Load Distribution Optimization of Hot Strip Mills. Control and Decision, (in Chinese),2005,20(12):1379 被引 2    
5.  Yao Feng. Improved PSO and Its Application to Load Distribution Optimization of Hot Strip Mills. Journal of University of Science and Technology Beijing, (in Chinese),2009,31(8):1061 被引 1    
6.  Yao Feng. Multi-Objective Differential Evolution Used for Load Distribution of Hot Strip Mills. Control Theory and Application, (in Chinese),2010,27(7):897 被引 2    
7.  Sun Yikang. The Model and Control of Hot Strip Mill (in Chinese),2002 被引 1    
8.  Shao Jian. A Scheme for Optimal Load Distribution in Schedule Free Rolling of Wide Hot Strip Mills. Metallurgical Industry Automation, (in Chinese),2010,34(3):19 被引 1    
9.  Shao Jian. Research on Work Roll Wear Prediction Model Taking in Account Lubrication in Hot Rolling. China Mechanical Engineering, (in Chinese),2009,20(3):361 被引 1    
10.  Storn R. Differential Evolution-A Simple and Efficient Heuristic for Global Optimization Over Continuous Spaces. Journal of Global Optimization,1997,11:341 被引 1318    
11.  Balling R. The Maximin Fitness Function;Multiobjective City and Regional Planning. Proceedings of Evolutionary Multi-Criterion Optimization 2003,2003:76 被引 1    
12.  Deb K. A Fast and Elitist Multiobjective Genetic Algorithm:NSGA-II. IEEE Transactions on Evolutionary Computation,2002,6(2):182 被引 3061    
引证文献 6

1 陈超超 高强度低合金钢热轧板形综合控制技术 钢铁,2014,49(4):47-53
被引 4

2 李冬 热连轧精轧负荷分配优化的多目标反向迭代法 控制理论与应用,2015,32(7):970-977
被引 0 次

显示所有6篇文献

论文科学数据集
PlumX Metrics
相关文献

 作者相关
 关键词相关
 参考文献相关

版权所有 ©2008 中国科学院文献情报中心 制作维护:中国科学院文献情报中心
地址:北京中关村北四环西路33号 邮政编码:100190 联系电话:(010)82627496 E-mail:cscd@mail.las.ac.cn 京ICP备05002861号-4 | 京公网安备11010802043238号