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Conference Paper: A hybrid CFGTSA based approach for scheduling problem: A case study of an automobile industry

TitleA hybrid CFGTSA based approach for scheduling problem: A case study of an automobile industry
Authors
KeywordsCFGTSA
Chaotic theory
GA
SA
Scheduling
TS
Issue Date2007
PublisherThe Grand Hotel, Taipei, Taiwan .
Citation
Proceedings of the 2006 IEEE International Conference on Systems, Man, and Cybernetics, p. 5041-5046 How to Cite?
AbstractIn the global competitive world swift, reliable and cost effective production subject to uncertain situations, through an appropriate management of the available resources, has turned out to be the necessity for surviving in the market. This inspired the development of the more efficient and robust methods to counteract the existing complexities prevailing in the market. The present paper proposes a hybrid CFGTSA algorithm inheriting the salient features of GA, TS, SA, and chaotic theory to solve the complex scheduling problems commonly faced by most of the manufacturing industries. The proposed CFGTSA algorithm has been tested on a scheduling problem of an automobile industry, and its efficacy has been shown by comparing the results with GA, SA, TS, GTS, and hybrid TSA algorithms. © 2006 IEEE.
Persistent Identifierhttp://hdl.handle.net/10722/99999
ISSN
References

 

DC FieldValueLanguage
dc.contributor.authorChan, FTSen_HK
dc.contributor.authorKumar, Ven_HK
dc.contributor.authorChan, HKen_HK
dc.contributor.authorChung, SHen_HK
dc.date.accessioned2010-09-25T18:52:53Z-
dc.date.available2010-09-25T18:52:53Z-
dc.date.issued2007en_HK
dc.identifier.citationProceedings of the 2006 IEEE International Conference on Systems, Man, and Cybernetics, p. 5041-5046en_HK
dc.identifier.issn1062-922Xen_HK
dc.identifier.urihttp://hdl.handle.net/10722/99999-
dc.description.abstractIn the global competitive world swift, reliable and cost effective production subject to uncertain situations, through an appropriate management of the available resources, has turned out to be the necessity for surviving in the market. This inspired the development of the more efficient and robust methods to counteract the existing complexities prevailing in the market. The present paper proposes a hybrid CFGTSA algorithm inheriting the salient features of GA, TS, SA, and chaotic theory to solve the complex scheduling problems commonly faced by most of the manufacturing industries. The proposed CFGTSA algorithm has been tested on a scheduling problem of an automobile industry, and its efficacy has been shown by comparing the results with GA, SA, TS, GTS, and hybrid TSA algorithms. © 2006 IEEE.en_HK
dc.languageengen_HK
dc.publisherThe Grand Hotel, Taipei, Taiwan .en_HK
dc.relation.ispartofConference Proceedings - IEEE International Conference on Systems, Man and Cyberneticsen_HK
dc.subjectCFGTSAen_HK
dc.subjectChaotic theoryen_HK
dc.subjectGAen_HK
dc.subjectSAen_HK
dc.subjectSchedulingen_HK
dc.subjectTSen_HK
dc.titleA hybrid CFGTSA based approach for scheduling problem: A case study of an automobile industryen_HK
dc.typeConference_Paperen_HK
dc.identifier.emailChan, FTS: ftschan@hkucc.hku.hken_HK
dc.identifier.authorityChan, FTS=rp00090en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1109/ICSMC.2006.385107en_HK
dc.identifier.scopuseid_2-s2.0-34548141876en_HK
dc.identifier.hkuros129455en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-34548141876&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume6en_HK
dc.identifier.spage5041en_HK
dc.identifier.epage5046en_HK
dc.publisher.placeUnited Statesen_HK
dc.identifier.scopusauthoridChan, FTS=7202586517en_HK
dc.identifier.scopusauthoridKumar, V=35174542100en_HK
dc.identifier.scopusauthoridChan, HK=13104905800en_HK
dc.identifier.scopusauthoridChung, SH=36023203100en_HK

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