Utilize este identificador para referenciar este registo: https://hdl.handle.net/1822/19095

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dc.contributor.authorKoblasa, F.-
dc.contributor.authorDias, Luís M. S.-
dc.contributor.authorOliveira, José A.-
dc.date.accessioned2012-05-03T13:59:18Z-
dc.date.available2012-05-03T13:59:18Z-
dc.date.issued2008-
dc.identifier.issn1801-1128por
dc.identifier.urihttps://hdl.handle.net/1822/19095-
dc.description.abstractThis paper presents possible ways to improve enterprises’ scheduling, simplified as Job-Shop Scheduling Problem, using heuristics. It describes proceedings through Local Search and Genetic Algorithm and includes examples of Single Swap Local Search and Genetic Algorithm with Random Keys representation and chromosome correction. The paper also includes a comparison of makespan improvements existing in the Local Search and in the Genetic Algorithm.por
dc.language.isoengpor
dc.publisherTechnical University of Liberecpor
dc.rightsrestrictedAccesspor
dc.subjectGenetic algorithmpor
dc.subjectSchedulingpor
dc.titleScheduling optimization using local search and genetic algorithmpor
dc.typearticle-
dc.peerreviewedyespor
sdum.publicationstatuspublishedpor
oaire.citationStartPage174por
oaire.citationEndPage181por
oaire.citationTitleACC Journalpor
oaire.citationVolume14por
sdum.journalACC Journalpor
Aparece nas coleções:LES/ALG - Artigos em revistas científicas internacionais com arbitragem

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