NDLI: Multi-objective optimization for draft scheduling of hot strip mill

Content Provider	Springer Nature Link
Author	Li, Wei gang Liu, Xiang hua Guo, Zhao hui
Copyright Year	2012
Abstract	A 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.
Starting Page	3069
Ending Page	3078
Page Count	10
File Format	PDF
ISSN	20952899
Journal	Journal of Central South University of Technology
Volume Number	19
Issue Number	11
e-ISSN	22275223
Language	English
Publisher	Central South University
Publisher Date	2012-11-18
Publisher Place	Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	hot strip mill draft scheduling multi-objective optimization multi-objective differential evolution algorithm based on decomposition (MODE/D) Pareto-optimal front Engineering Metallic Materials
Content Type	Text
Resource Type	Article
Subject	Metals and Alloys Engineering

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