Hybrid optimization for charge planning problem in twin strands continuous casting production
Jian Yi1,2, Shu-jin Jia2, Bin Du1,2
1 College of Information Science and Engineering, Northeastern University, Shenyang 110819, Liaoning, China 2 Institute of Intelligent Manufacturing, Baosteel Central Research Institute, Shanghai 201900, China
Abstract：Charge planning is one of batching problems for steelmaking and continuous casting production, and its optimization will be conducive to subsequent cast planning. Charge planning problem in the twin strands continuous casting production was studied, where casting width of the odd strand might be different from that of the even strand. Considering the different widths in the twin strands, the resulting counterweights and the constraints of steelmaking and continuous casting, a multi-objective optimization model was established to minimize the number of charges, the number of scale pairs, the surplus and the upgrading costs of steel grades. Furthermore, a hybrid optimization algorithm combined with heuristic and mutation-based estimation of distribution algorithm was proposed to solve the model. Experiments were conducted on several groups of test data collected from practical production orders of Baosteel. The computational results demonstrate that the proposed algorithm can generate better solutions than the manual method. The proposed model and algorithm proved to be effective and practical.
Jian Yi,Shu-jin Jia,Bin Du. Hybrid optimization for charge planning problem in twin strands continuous casting production[J]. Journal of Iron and Steel Research International, 2021, 28(5): 520-529.
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2021, Vol. 28 
