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A tight approximation ratio of a list scheduling algorithm for a single-machine scheduling problem with a non-renewable resource
In this paper, we investigate an open problem by Györgyi and Kis for a single-machine scheduling problem with a non-renewable resource (NR-SSP) and total weighted completion time criterion. The problem is NP-hard, even if every job has the same processing time, and each weight is equal to its requir...
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Published in: | Journal of scheduling 2021-06, Vol.24 (3), p.259-267 |
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Main Authors: | , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | In this paper, we investigate an open problem by Györgyi and Kis for a single-machine scheduling problem with a non-renewable resource (NR-SSP) and total weighted completion time criterion. The problem is NP-hard, even if every job has the same processing time, and each weight is equal to its required amount of the resource. Györgyi and Kis prove that a simple list scheduling algorithm for this special case is a 3-approximation algorithm and conjecture that the algorithm for the case is a 2-approximation algorithm. We prove their conjecture. More strongly, we show that the approximation ratio is strictly less than 2 for any instance, and for any
ϵ
>
0
, there exists an instance for which the approximation ratio is more than
2
-
ϵ
. |
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ISSN: | 1094-6136 1099-1425 |
DOI: | 10.1007/s10951-021-00681-y |