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A multiobjective state transition algorithm for single machine scheduling

Zhou, Xiaojun, Hanoun, Samer, Gao, David Yang and Nahavandi, Saeid 2015, A multiobjective state transition algorithm for single machine scheduling, in ICONIP 2015 : Proceedings of the 22nd International Conference on Neural Information Processing, Springer, New York, N.Y., pp. 79-88, doi: 10.1007/978-3-319-08377-3_9.

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Title A multiobjective state transition algorithm for single machine scheduling
Author(s) Zhou, Xiaojun
Hanoun, SamerORCID iD for Hanoun, Samer orcid.org/0000-0002-8697-1515
Gao, David Yang
Nahavandi, SaeidORCID iD for Nahavandi, Saeid orcid.org/0000-0002-0360-5270
Conference name Neural Information Processing International Conference ( 22nd : 2015 : Istanbul, Turkey)
Conference location Istanbul, Turkey
Conference dates 9-12 Nov. 2015
Title of proceedings ICONIP 2015 : Proceedings of the 22nd International Conference on Neural Information Processing
Publication date 2015
Series Springer Proceedings in Mathematics and Statistics v.95
Start page 79
End page 88
Total pages 10
Publisher Springer
Place of publication New York, N.Y.
Keyword(s) Science & Technology
Physical Sciences
Mathematics
Statistics & Probability
Discrete state transition algorithm
Multiobjective optimization
Single machine scheduling
OPTIMIZATION
Summary In this paper, a discrete state transition algorithm is introduced to solve a multiobjective single machine job shop scheduling problem. In the proposed approach, a non-dominated sort technique is used to select the best from a candidate state set, and a Pareto archived strategy is adopted to keep all the non-dominated solutions. Compared with the enumeration and other heuristics, experimental results have demonstrated the effectiveness of the multiobjective state transition algorithm.
ISBN 9783319083766
ISSN 2194-1009
2194-1017
Language eng
DOI 10.1007/978-3-319-08377-3_9
Field of Research 010303 Optimisation
091099 Manufacturing Engineering not elsewhere classified
Socio Economic Objective 970109 Expanding Knowledge in Engineering
HERDC Research category E1 Full written paper - refereed
ERA Research output type E Conference publication
Copyright notice ©2015, Springer
Persistent URL http://hdl.handle.net/10536/DRO/DU:30076653

Document type: Conference Paper
Collection: Centre for Intelligent Systems Research
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Citation counts: TR Web of Science Citation Count  Cited 2 times in TR Web of Science
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