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Application of the Tabu Search Algorithm on Solving the Optimum Heating Institution of Reheating Furnace

机译:禁忌搜索算法在求解加热炉最佳加热机构中的应用

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With the aim of minimizing the energy consumption cost and taking the billet heating quality as the constraint condition, a mathematical model was established based on the billet heating model to solve the optimum heat institution of the reheating furnace. The tabu search algorithm was employed to solve the model. The results of the industrial production data optimization showed that the proposed mathematical model and the solving method could fully meet the practical production demand of the reheating furnace. In addition to satisfying the heating quality requirements, the energy consumption is reduced and the oxidation loss is decreased. Compared with the original one, the heating institution obtained from the mentioned model and algorithm had a better performance on energy efficiency.
机译:为了最小化能耗成本,以钢坯加热质量为约束条件,建立了基于钢坯加热模型的数学模型,以求出再热炉的最佳热机构。采用禁忌搜索算法对该模型进行求解。工业生产数据优化结果表明,所提出的数学模型和求解方法完全可以满足加热炉的实际生产需求。除了满足加热质量要求外,还减少了能耗并减少了氧化损失。与原始模型相比,通过上述模型和算法获得的供热机构在能效上有较好的表现。

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