DocumentCode :
2813262
Title :
Notice of Retraction
Scheduling uniform parallel machines with machine eligibility restrictions to minimize total weighted tardiness
Author :
Ying Guo ; Xinbao Liu
Author_Institution :
Sch. of Manage., Hefei Univ. of Technol., Hefei, China
Volume :
8
fYear :
2010
fDate :
22-24 Oct. 2010
Abstract :
Notice of Retraction

After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.

We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.

The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.

This paper considers the problem of scheduling uniform parallel machines with machine eligibility restrictions to minimize total weighted tardiness. We presented a new heuristic algorithm based local search on each machine for this problem. The experimental results have shown that the proposed heuristic was a very effective method for this problem in terms of solution quality, computational expense, coding complexity and algorithm stability, as seen through a comparison of 6 algorithms on various pairs of test data. Moreover, we observed that the proposed algorithm can be extended to the unrelated parallel machine setting.
Keywords :
minimisation; parallel machines; single machine scheduling; algorithm stability; coding complexity; computational expense; heuristic algorithm; machine eligibility restrictions; solution quality; total weighted tardiness minimization; uniform parallel machine scheduling; Gold; Parallel machines; Processor scheduling; heuristic; machine eligibility; scheduling; total weighted tardiness; uniform parallel machine;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Application and System Modeling (ICCASM), 2010 International Conference on
Conference_Location :
Taiyuan
Print_ISBN :
978-1-4244-7235-2
Type :
conf
DOI :
10.1109/ICCASM.2010.5619252
Filename :
5619252
Link To Document :
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