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Modeling and Hybrid Optimization of Batching Planning System for Steelmaking-continuous Casting Process

机译:炼钢连铸配料计划系统建模与混合优化

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摘要

This paper investigates the batching problem for steelmaking and continuous casting production in an iron and steel enterprise. The tasks of this problem are to decide how to select slabs and determine their width, how to group the selected slabs into charges and then group the charges into tundishes, how to determine the sequence of charges in each tundish, and how to group tundishes into casts and determine the sequence of tundishes in each cast. The effective decision on the batching problem can help balance the requirements of the sequential process after steelmaking and continuous casting, reduce production cost, and improve slab quality. We first give the mathematical description of the original problem. Based on the analysis of width, we present a decomposition strategy to divide the model into three sub-models,i.e.,charge design model, tundish design model and cast design model, while adding rele-vant objectives and constraints. According to the characteristics of each sub-model, we present hybrid optimization algorithms separately.Computational experiments show the strategy,models and algorithms can generate satisfactory solutions.
机译:本文研究了钢铁企业炼钢和连铸生产中的配料问题。这个问题的任务是决定如何选择平板并确定其宽度,如何将选定的平板分组为装料,然后将装料分组为通道,如何确定每个中间包中的装料顺序,以及如何将通道分组为并确定每次浇铸中的隧道顺序。对配料问题的有效决策可以帮助平衡炼钢和连铸后的后续工艺要求,降低生产成本并提高板坯质量。我们首先给出原始问题的数学描述。在宽度分析的基础上,我们提出了一种分解策略,将模型分为三个子模型,即装料设计模型,中间包设计模型和浇铸设计模型,同时增加了相关目标和约束。根据每个子模型的特点,分别提出了混合优化算法。计算实验表明,该策略,模型和算法都能产生满意的解。

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  • 来源
    《自动化学报(英文版)》 |2014年第2期|113-126|共14页
  • 作者单位

    State Key Laboratory of Syn-thetical Automation for Process Industries,Northeastern University,Shenyang 110819,China;

    State Key Laboratory of Syn-thetical Automation for Process Industries,Northeastern University,Shenyang 110819,China;

    State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang 110819, China;

    Research Center of Automation, Northeastern University, Shenyang 110819,China;

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