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Conference Paper: An introduction of dominant genes in genetic algorithm for scheduling of FMS

TitleAn introduction of dominant genes in genetic algorithm for scheduling of FMS
Authors
Issue Date2005
PublisherIEEE, Computer Society. The Journal's web site is located at http://www.ieee.org
Citation
IEEE International Symposium on Intelligent Control Proceedings, the 13th Mediterrean Conference on Control and Automation Proceedings, Limassol, Cyprus, 27-29 June, 2005, p. 1429-1434 How to Cite?
AbstractThis paper proposed a new idea named Dominant Genes (DGs) in Genetic Algoriths (GAs) to deal with FMS scheduling problem with alternative production routing. In traditional GAs approach, the crossover mechanism will randomly select a number of genes to undergo crossover. However, these selected genes may not contain or contain only part of the critical structure of its original chromosome. In addition, since the inherited complexity of the scheduling nature, the changes in the structure of the selected genes will further influence its strength. To tackle this problem, the proposed DGs in this paper are to identify and record the best genes in the chromosome. A new crossover mechanism is also designed to ensure the best genes will undergo crossover, and retain the originality of the structure of the crossover genes. The performance of the proposed DGs is testified by comparing it with other heuristic optimizations. The shows that DGs perform better than other approaches. ©2005 IEEE.
Persistent Identifierhttp://hdl.handle.net/10722/46552
References

 

DC FieldValueLanguage
dc.contributor.authorChan, FTSen_HK
dc.contributor.authorChung, SHen_HK
dc.contributor.authorChan, PLYen_HK
dc.date.accessioned2007-10-30T06:52:46Z-
dc.date.available2007-10-30T06:52:46Z-
dc.date.issued2005en_HK
dc.identifier.citationIEEE International Symposium on Intelligent Control Proceedings, the 13th Mediterrean Conference on Control and Automation Proceedings, Limassol, Cyprus, 27-29 June, 2005, p. 1429-1434en_HK
dc.identifier.urihttp://hdl.handle.net/10722/46552-
dc.description.abstractThis paper proposed a new idea named Dominant Genes (DGs) in Genetic Algoriths (GAs) to deal with FMS scheduling problem with alternative production routing. In traditional GAs approach, the crossover mechanism will randomly select a number of genes to undergo crossover. However, these selected genes may not contain or contain only part of the critical structure of its original chromosome. In addition, since the inherited complexity of the scheduling nature, the changes in the structure of the selected genes will further influence its strength. To tackle this problem, the proposed DGs in this paper are to identify and record the best genes in the chromosome. A new crossover mechanism is also designed to ensure the best genes will undergo crossover, and retain the originality of the structure of the crossover genes. The performance of the proposed DGs is testified by comparing it with other heuristic optimizations. The shows that DGs perform better than other approaches. ©2005 IEEE.en_HK
dc.format.extent206245 bytes-
dc.format.extent28160 bytes-
dc.format.extent4385 bytes-
dc.format.mimetypeapplication/pdf-
dc.format.mimetypeapplication/msword-
dc.format.mimetypetext/plain-
dc.languageengen_HK
dc.publisherIEEE, Computer Society. The Journal's web site is located at http://www.ieee.orgen_HK
dc.relation.ispartofProceedings of the 20th IEEE International Symposium on Intelligent Control, ISIC '05 and the 13th Mediterranean Conference on Control and Automation, MED '05en_HK
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.rights©2005 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.en_HK
dc.titleAn introduction of dominant genes in genetic algorithm for scheduling of FMSen_HK
dc.typeConference_Paperen_HK
dc.identifier.emailChan, FTS: ftschan@hkucc.hku.hken_HK
dc.identifier.emailChan, PLY: plychan@hku.hken_HK
dc.identifier.authorityChan, FTS=rp00090en_HK
dc.identifier.authorityChan, PLY=rp00093en_HK
dc.description.naturepublished_or_final_versionen_HK
dc.identifier.doi10.1109/.2005.1467224en_HK
dc.identifier.scopuseid_2-s2.0-33745220549en_HK
dc.identifier.hkuros100530-
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-33745220549&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume2005en_HK
dc.identifier.spage1429en_HK
dc.identifier.epage1434en_HK
dc.identifier.scopusauthoridChan, FTS=7202586517en_HK
dc.identifier.scopusauthoridChung, SH=36023203100en_HK
dc.identifier.scopusauthoridChan, PLY=7403540482en_HK

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