Abstract
The aim of this paper is to develop an improved polynomial-time approximation algorithm belonging to the family of the fully polynomial time approximation schemes (FPTAS), for an ancient scheduling problem with deadlines. The algorithm permits to answer a question posed more than three decades ago in Gens & Levner (1981): 'Can an epsilon-approximation algorithm be found for the minimization version of the job-sequencing-with-deadlines problem running with the same complexity as the algorithms for the maximization form of the problem?' The new algorithm provides the positive answer.
Original language | English |
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Title of host publication | Proceedings - 2014 International Conference on Control, Decision and Information Technologies, CoDIT 2014 |
Editors | Imed Kacem, Pierre Laroche, Zsuzsanna Roka |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 113-116 |
Number of pages | 4 |
ISBN (Electronic) | 9781479967735 |
DOIs | |
State | Published - 23 Dec 2014 |
Event | 2014 International Conference on Control, Decision and Information Technologies, CoDIT 2014 - Metz, France Duration: 3 Nov 2014 → 5 Nov 2014 |
Publication series
Name | Proceedings - 2014 International Conference on Control, Decision and Information Technologies, CoDIT 2014 |
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Conference
Conference | 2014 International Conference on Control, Decision and Information Technologies, CoDIT 2014 |
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Country/Territory | France |
City | Metz |
Period | 3/11/14 → 5/11/14 |
Bibliographical note
Funding Information:We would like to thank the HST project for the award of director’s discretionary time in support of the Capella simultaneous campaign. J. J. D. extends warm thanks to the CXC mission planning scientists, in particular Jan Vrtilek, for making the special effort to mesh the Chandra schedule with that of the three other participating satellites. O. J., J. J. D., N. S. B., P. F., and V. K. were supported by NASA contract NAS8-39073 to the CXC during the course of this research. A. K. D. and P. R. Y. acknowledge support, in part, from NASA grant G00-1044X. V. K. was also supported by NASA grants NAG5-9105 and NAG5-6675 and NASA HST grant GO-08546.01-A.
Publisher Copyright:
© 2014 IEEE.
Keywords
- Approximation algorithm
- FPTAS
- Job-sequencing-with-deadlines scheduling problem