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  4. Approximation algorithms for coupled task scheduling minimizing the sum of completion times
 
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Approximation algorithms for coupled task scheduling minimizing the sum of completion times

Citation Link: https://doi.org/10.15480/882.8478
Publikationstyp
Journal Article
Date Issued
2023-04-25
Sprache
English
Author(s)
Fischer, David Simon 
Algorithmen und Komplexität E-11  
Györgyi, Péter  
TORE-DOI
10.15480/882.8478
TORE-URI
https://hdl.handle.net/11420/43117
Journal
Annals of operations research  
Volume
328
Start Page
1387
End Page
1408
Citation
Annals of Operations Research (2023)
Publisher DOI
10.1007/s10479-023-05322-5
Scopus ID
2-s2.0-85153372219
Publisher
Springer
In this paper we consider the coupled task scheduling problem with exact delay times on a single machine with the objective of minimizing the total completion time of the jobs. We
provide constant-factor approximation algorithms for several variants of this problem that are known to be N P-hard, while also proving N P-hardness for two variants whose complexity
was unknown before. Using these results, together with constant-factor approximations for the makespan objective from the literature, we also introduce the first results on bi-objective
approximation in the coupled task setting.
Subjects
Approximation algorithms
Coupled task problem
Single machine scheduling
Total completion times
DDC Class
510: Mathematics
600: Technology
Publication version
publishedVersion
Lizenz
https://creativecommons.org/licenses/by/4.0/
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