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.

装料计划是炼钢和连铸生产中的配料问题之一，其优化将有利于后续的铸造计划。研究了双股连铸生产中的装料规划问题，其中奇数股的铸造宽度可能与偶数股的铸造宽度不同。考虑到双股钢的不同宽度，所产生的配重以及炼钢和连铸的约束，建立了一个多目标优化模型，以最小化炉料数量，氧化皮对数量，钢的剩余和升级成本成绩。此外，提出了一种混合优化算法，结合启发式和基于突变的分布估计算法对该模型进行求解。对从宝钢实际生产订单中收集的几组测试数据进行了实验。计算结果表明，所提出的算法比人工算法能产生更好的解。所提出的模型和算法被证明是有效和实用的。