Hybrid Genetic Algorithm and Simulated Annealing (HGASA) in global function optimization

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dc.contributor.authorChen D.-
dc.contributor.authorLee C.-Y.-
dc.contributor.authorPark, Cheol Hoon-
dc.date.accessioned2013-03-17T10:43:11Z-
dc.date.available2013-03-17T10:43:11Z-
dc.date.created2012-02-06-
dc.date.issued2005-11-14-
dc.identifier.citationICTAI 2005: 17th IEEE International Conference on Tools with Artificial Intelligence, ICTAI'05, v.2005, no., pp.126 - 130-
dc.identifier.issn1082-3409-
dc.identifier.urihttp://hdl.handle.net/10203/142494-
dc.languageENG-
dc.titleHybrid Genetic Algorithm and Simulated Annealing (HGASA) in global function optimization-
dc.typeConference-
dc.identifier.scopusid2-s2.0-33845257993-
dc.type.rimsCONF-
dc.citation.volume2005-
dc.citation.beginningpage126-
dc.citation.endingpage130-
dc.citation.publicationnameICTAI 2005: 17th IEEE International Conference on Tools with Artificial Intelligence, ICTAI'05-
dc.identifier.conferencecountryHong Kong-
dc.identifier.conferencecountryHong Kong-
dc.contributor.localauthorPark, Cheol Hoon-
dc.contributor.nonIdAuthorChen D.-
dc.contributor.nonIdAuthorLee C.-Y.-
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EE-Conference Papers(학술회의논문)
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