Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/98375
| Title: | Faster algorithms for single machine scheduling with release dates and rejection | Authors: | Ou, J Zhong, X Li, CL |
Issue Date: | Aug-2016 | Source: | Information processing letters, Aug. 2016, v. 116, no. 8, p. 503-507 | Abstract: | We consider the single machine scheduling problem with release dates and job rejection with an objective of minimizing the makespan of the job schedule plus the total rejection penalty of the rejected jobs. Zhang et al. [6] have presented a 2-approximation algorithm with an O(n2) complexity for this problem and an exact algorithm with an O(n3) complexity for the special case with identical job processing times. In this note, we show that the 2-approximation algorithm developed by Zhang et al. [6] can be implemented in O(nlogn) time. We also develop a new exact algorithm with an improved complexity of O(n2logn) for the special case with identical job processing times. The second algorithm can be easily extended to solve the parallel-machine case with the same running time complexity, which answers an open question recently raised by Zhang and Lu [5]. | Keywords: | Algorithms Rejection penalty Release dates Scheduling Worst-case analysis |
Publisher: | Elsevier | Journal: | Information processing letters | ISSN: | 0020-0190 | DOI: | 10.1016/j.ipl.2016.02.008 | Rights: | © 2016 Elsevier B.V. All rights reserved. © 2016. This manuscript version is made available under the CC-BY-NC-ND 4.0 license https://creativecommons.org/licenses/by-nc-nd/4.0/. The following publication Ou, J., Zhong, X., & Li, C. L. (2016). Faster algorithms for single machine scheduling with release dates and rejection. Information Processing Letters, 116(8), 503-507 is available at https://doi.org/10.1016/j.ipl.2016.02.008. |
| Appears in Collections: | Journal/Magazine Article |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Li_Faster_Algorithms_Single.pdf | Pre-Published version | 672.82 kB | Adobe PDF | View/Open |
Page views
75
Citations as of Apr 14, 2025
Downloads
51
Citations as of Apr 14, 2025
SCOPUSTM
Citations
23
Citations as of Dec 19, 2025
WEB OF SCIENCETM
Citations
20
Citations as of Oct 10, 2024
Google ScholarTM
Check
Altmetric
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.



