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 coeHicients encountered in single objective optimization, a multi-objective differential evolutionary algorithm, called MaximinDE, is proposed to solve this model. The experimental resul.ts based on practical production data indicate that MaximinDE can obtain a good pareto-optimal solution set, which consists of aseries 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 empiricalload distribution solution, the trade-off solution can ac hieve 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.
This is a preview of subscription content, log in via an institution to check access.
Similar content being viewed by others
References
LI Hai-jun, XU Jian-zhong, WANG Guo-dong, et al. Improvement on Conventional Load Distribution Aigorithm in Hot Tandem Mills [J]. Journal of Iron and Steel Research, International, 2001, 14(2): 36.
ZHANG Jin-zhi. Analysis and Summarization of Load Distribution [J]. Wide and Heavy Plate, 2004, 10(3), 14 (in Chinese).
WANG Yan, LIU Jing-lu, SUN Yi-kang. Immune Genetic Algorithm (IGA) Based Scheduling Optimization for Finisher [J]. Journal of University of Science and Technology Beijing, 2002, 24(3): 339 (in Chinese).
WANG Jian-hui, XU Lin, YAN Yong-liang, et al. Improved PSO and Its Application to Load Distribution Optimization of Hot Strip Mills [J]. Control and Decision, 2005, 20(12): 1379 (in Chinese).
YAO Feng, YANG Wei-dong, ZHANG Ming. Improved PSO and Its Application to Load Distribution Optimization of Hot Strip Mills [J]. Journal of University of Science and Technology Beijing, 2009, 31(8): 1061 (in Chinese).
YAO Feng, YANG Wei-dong, ZHANG Ming. Multi-Objective Differential Evolution Used for Load Distribution of Hot Strip Mills [J]. Control Theory and Application, 2010, 27(7): 897 (in Chinese).
SUN Yi-kang. The Model and Control of Hot Strip Mill [M]. Beijing: Metallurgical Industry Press, 2002 (in Chinese).
SHAO Jian, HE An-rui, YANG Quan, et al. A Scheme for Optimal Load Distribution in Schedule Free Rolling of Wide Hot Strip Mills [J]. Metallurgical Industry Automation, 2010, 34(3): 19 (in Chinese).
SHAO Jian, HE An-rui, YANG Quan, et al. Research on Work Roll Wear Prediction Model Taking in Account Lubrication in Hot Rolling [J]. China Mechanical Engineering, 2009, 20(3): 361 (in Chinese).
Storn R, Price K. Differential Evolution-A Simple and Efficient Heuristic for Global Optimization Over Continuous Spaces [J]. Journal of Global Optimization, 1997, 11: 341.
Balling R. The Maximin Fitness Function; Multiobjective City and Regional Planning [C]//Proceedings of Evolutionary Multi-Criterion Optimization 2003. Faro: [s. n.. 2003: 76.
Deb K, Pratap A, Agarwal S, et al. A Fast and Elitist Multiobjective Genetic Algorithm: NSGA-II [J]. IEEE Transactions on Evolutionary Computation, 2002, 6(2): 182.
Author information
Authors and Affiliations
Corresponding author
Additional information
Foundation Item: Item Sponsored by National Natural Science Foundation of China (50974039)
Rights and permissions
About this article
Cite this article
Jia, Sj., Li, Wg., Liu, Xh. et al. Multi-Objective Load Distribution Optimization for Hot Strip Mills. J. Iron Steel Res. Int. 20, 27–32 (2013). https://doi.org/10.1016/S1006-706X(13)60052-7
Revised:
Published:
Issue Date:
DOI: https://doi.org/10.1016/S1006-706X(13)60052-7