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Fast approximation algorithms for uniform machine scheduling with processing set restrictions
DOI:10.1016/j.ejor.2017.01.013.png)
摘要
En 中文
We consider the problem of nonpreemptively scheduling a set of independent jobs on a set of uniform machines, where each job has a set of machines to which it can be assigned. This kind of restriction is called the processing set restriction. In the literature there are many kinds of processing set restrictions that have been studied. In this paper we consider two kinds: the inclusive processing set and the tree-hierarchical processing set. Epstein and Levin (2011) have given Polynomial Time Approximation Schemes (PTAS) to solve both classes. However, the running times of their PTAS are rather high. In this paper, we give fast approximation algorithms for both cases and show that they both have a worst-case performance bound of 4/3. Moreover, we show that the bounds are achievable. (C) 2017 Elsevier B.V. All rights reserved.
Keyword:
Scheduling
Uniform machines
Inclusive processing set
Tree-hierarchical processing set
Makespan
Worst-case bound
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期刊
IF:
6
论文数:
2.2W
被引数:
6.4W

