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首页> 外文期刊>WSEAS Transactions on Mathematics >AN APPLICATION OF LAGRANGEAN DECOMPOSITION TO THE SCHEDULING OF HOT CHARGED ROLLING IN STEEL PRODUCTION
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AN APPLICATION OF LAGRANGEAN DECOMPOSITION TO THE SCHEDULING OF HOT CHARGED ROLLING IN STEEL PRODUCTION

机译:拉格朗日分解法在热轧带钢轧制调度中的应用

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摘要

In this paper a Lagrangean decomposition technique for solving the scheduling problem for Hot Charged Rolling (HCR) in the continuous casting process which involves sequencing and grouping. This Lagrangian relaxation algorithm is proposed that incorporate two sets of constraints into the objective function after applying the variable splitting technique. The relaxed problem has a special structure and can be solved as three versions of subproblems. The subgradient algorithm is then used to maximize the Lagrangian dual. Two heuristic algorithms are also proposed to find good primal feasible solutions. Through the three versions of subproblems and two heuristic algorithms, the best one from six combinations is selected to incorporate with branch-and-bound algorithm to find the optimal solution when job size is large. Our methodology provides the optimal solutions for the difficult scheduling problem resulted from the continuous casting process.
机译:本文提出了一种拉格朗日分解技术,用于解决连铸过程中热连轧(HCR)的调度问题,该过程涉及排序和分组。提出了这种拉格朗日松弛算法,该算法在应用变量拆分技术后将两组约束条件合并到目标函数中。松弛问题具有特殊的结构,可以解决为三个子问题版本。然后使用次梯度算法来最大化拉格朗日对偶。还提出了两种启发式算法来找到良好的原始可行解。通过三种子问题版本和两种启发式算法,选择了六个组合中的最佳组合,并与分支定界算法结合,以在工作量较大时找到最佳解决方案。我们的方法为连续铸造过程中出现的困难调度问题提供了最佳解决方案。

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