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Branch and bound and dynamic programming to minimize the total completion times on a single machine with availability constraints

机译:分支定界和动态编程可在具有可用性限制的情况下最大程度地减少单台计算机上的总完成时间

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In this paper we consider the single machine scheduling problem with availability constraints in order to minimize the total completion times of jobs. We propose two exact approaches to solve the problem: a dynamic programming and a branch and bound method. The study of these approaches is carried out in this article and a concluding analysis based on several experimental results allows us to select the most suitable method according to the studied instance.
机译:在本文中,我们考虑具有可用性约束的单机调度问题,以最大程度地减少作业的总完成时间。我们提出了两种解决问题的精确方法:动态编程和分支定界方法。本文对这些方法进行了研究,并且基于几个实验结果的结论分析使我们能够根据研究实例选择最合适的方法。

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