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Interval Selection with Machine-Dependent Intervals

机译:具有机器相关间隔的间隔选择

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We study an offline interval scheduling problem where every job has exactly one associated interval on every machine. To schedule a set of jobs, exactly one of the intervals associated with each job must be selected, and the intervals selected on the same machine must not intersect. We show that deciding whether all jobs can be scheduled is NP-complete already in various simple cases. In particular, by showing the NP-completeness for the case when all the intervals associated with the same job end at the same point in time (also known as just-in-time jobs), we solve an open problem posed by Sung and Vlach (J. Sched., 2005). We also study the related problem of maximizing the number of scheduled jobs. We prove that the problem is NP-hard even for two machines and unit-length intervals. We present a 2/3-approximation algorithm for two machines (and intervals of arbitrary lengths).
机译:我们研究了离线间隔计划问题,其中每个作业在每台计算机上都具有一个正确的关联间隔。要安排一组作业,必须精确选择与每个作业相关的间隔之一,并且在同一台计算机上选择的间隔不得相交。我们表明,在各种简单情况下,确定是否可以调度所有作业都是NP完全的。特别地,通过显示与同一作业相关联的所有间隔在同一时间点(也称为即时作业)结束时的NP完全性,我们解决了Sung和Vlach提出的开放问题(J.Sched。,2005)。我们还研究了最大化计划作业数量的相关问题。我们证明,即使对于两台机器和单位长度的间隔,该问题也很难解决。我们为两台机器(和任意长度的间隔)提出了一种2/3逼近算法。

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