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A branch-and-bound algorithm to minimize total weighted completion time on identical parallel machines with job release dates

机译:分支定界算法可最大程度地减少具有作业发布日期的相同并行机上的总加权完成时间

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摘要

In this paper, we consider an identical parallel machine scheduling problem with release dates. The objective is to minimize the total weighted completion time. This problem is known to be strongly NP-hard. We propose some dominance properties and two lower bounds. We also present an efficient heuristic. A branch-and-bound algorithm, in which the heuristic, the lower bounds and the dominance properties are incorporated, is proposed and tested on a large set of randomly generated instances.
机译:在本文中,我们考虑发布日期相同的并行机调度问题。目的是最大程度地减少总加权完成时间。已知此问题对NP来说很困难。我们提出了一些支配性和两个下界。我们还提出了一种有效的启发式方法。提出并结合了启发式,下界和优势属性的分支定界算法,并在大量随机生成的实例上进行了测试。

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