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.
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Foundation item: Projects(50974039, 50634030) supported by the National Natural Science Foundation of China
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Li, Wg., Liu, Xh. & Guo, Zh. Multi-objective optimization for draft scheduling of hot strip mill. J. Cent. South Univ. 19, 3069–3078 (2012). https://doi.org/10.1007/s11771-012-1380-z
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DOI: https://doi.org/10.1007/s11771-012-1380-z