Parallel machine scheduling with nested processing set restrictions
Yumei Huo and
Joseph Y.-T. Leung
European Journal of Operational Research, 2010, vol. 204, issue 2, 229-236
Abstract:
We consider the problem of scheduling a set of n independent jobs on m parallel machines, where each job can only be scheduled on a subset of machines called its processing set. The machines are linearly ordered, and the processing set of job j is given by two machine indexes aj and bj; i.e., job j can only be scheduled on machines aj,aj+1,...,bj. Two distinct processing sets are either nested or disjoint. Preemption is not allowed. Our goal is to minimize the makespan. It is known that the problem is strongly NP-hard and that there is a list-type algorithm with a worst-case bound of 2-1/m. In this paper we give an improved algorithm with a worst-case bound of 7/4. For two and three machines, the algorithm gives a better worst-case bound of 5/4 and 3/2, respectively.
Keywords: Nested; processing; set; restrictions; Nonpreemptive; scheduling; Makespan; NP-hard; Approximation; algorithm; Worst-case; bound (search for similar items in EconPapers)
Date: 2010
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Citations: View citations in EconPapers (4)
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Persistent link: https://EconPapers.repec.org/RePEc:eee:ejores:v:204:y:2010:i:2:p:229-236
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