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Procrastination-Aware Scheduling: A Bipartite Graph Perspective

机译:拖延感知调度:二分图的角度

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Procrastination is a prevalent form of self-control failure. As it often concerns with the individual's ability to meet the deadline, an efficient time management is crucial for overcoming it. Though a considerable amount of work in behavioral economics provides useful insights, there is not a computational way to guide us how to obtain an appropriate schedule for all the things to be done, especially when the relationship of the deadlines is intrinsic. In this paper, we first propose the Procrastination-aware Scheduling Problem (PSP) to model an appropriate schedule. A bipartite graph formulation is then developed to further illustrate the concepts. We find the PSP is NP-hard in the strong sense and design an approximation algorithm. In addition, we note the significance of the PSP under the online scenario (called OnlinePSP). Finally, we verify the effectiveness and efficiency of the proposed algorithms through extensive experiments on real datasets.
机译:拖延症是自我控制失败的一种普遍形式。由于它经常与个人完成截止日期的能力有关,因此有效的时间管理对于克服截止时间至关重要。尽管行为经济学方面的大量工作提供了有用的见解,但是还没有一种计算方法可以指导我们如何为所有要做的事情获取合适的时间表,尤其是当最后期限是内在联系时。在本文中,我们首先提出了拖延意识调度问题(PSP),以对适当的调度模型进行建模。然后开发了二部图公式,以进一步说明概念。我们发现PSP在强意义上是NP-hard的,并设计了一种近似算法。此外,我们注意到PSP在在线情况下(称为OnlinePSP)的重要性。最后,我们通过对真实数据集的大量实验验证了所提算法的有效性和效率。

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