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A branch and bound algorithm to minimise the total tardiness in the two-machine permutation flowshop scheduling problem with minimal time lags

机译:一种分支定界算法,以最小的时间滞后最小化两机置换Flowshop调度问题中的总拖延时间

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摘要

In this paper, we consider the two-machine permutation flowshop scheduling problem with minimal time lags and the objective of minimising total tardiness. Dominance criteria are developed to establish precedence constraints between jobs in an optimal schedule and a lower bound on the total tardiness of the problem is derived. A branch and bound algorithm for this problem is developed to reach an optimal solution using lower bound and dominance criteria. Also, computationally efficient heuristics are proposed. Results of computational experiments on randomly generated problems are reported.
机译:在本文中,我们考虑了具有最小时间滞后和最小化总拖延时间的目标的两机置换流水车间调度问题。制定优势标准以在最佳计划中建立作业之间的优先约束,并得出问题的总拖延率的下限。开发了针对此问题的分支定界算法,以使用下限和优势准则达到最佳解决方案。此外,提出了计算有效的启发式算法。报告了随机产生的问题的计算实验结果。

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