Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/98375
PIRA download icon_1.1View/Download Full Text
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 SizeFormat 
Li_Faster_Algorithms_Single.pdfPre-Published version672.82 kBAdobe PDFView/Open
Open Access Information
Status open access
File Version Final Accepted Manuscript
Access
View full-text via PolyU eLinks SFX Query
Show full item record

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.