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Minimization of maximum lateness with equal processing times for single machine

机译:最小化单机的相同处理时间的最大迟到

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The following case of the classical NP-hard scheduling problem is considered. There is a set of jobs N with identical processing times p = const. All jobs have to be processed on a single machine. The objective function is minimization of maximum lateness. We analyze algorithms for the makespan problem, presented by Garey et al. (1981) and Simons (1978) and represent two polynomial algorithms to solve the problem and to construct the Pareto set with respect to criteria L_(max) and C_(max). The complexity of presented algorithms equals O(Q·n log n) and O(n~2 log n), where 10~(-Q) is the accuracy of the input-output parameters.
机译:考虑以下典型NP硬调度问题。有一组作业n,具有相同的处理时间p = const。所有工作都必须在一台机器上处理。目标函数最小化最大延迟。我们通过Garyy等人介绍了Mapespan问题的算法。 (1981)和西蒙斯(1978)并代表两个多项式算法来解决问题,并在标准L_(MAX)和C_(MAX)中构造帕累托集。呈现算法的复杂性等于O(Q·n log n)和O(n〜2 log n),其中10〜(-q)是输入输出参数的准确性。

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