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Ant colony system based approach to single machine scheduling problems: weighted tardiness scheduling problem

dc.contributor.authorMadureira, Ana Maria
dc.contributor.authorFalcão, Diamantino
dc.contributor.authorPereira, Ivo
dc.date.accessioned2013-05-02T14:49:26Z
dc.date.available2013-05-02T14:49:26Z
dc.date.issued2012
dc.date.updated2013-04-23T11:02:43Z
dc.description.abstractThe paper introduces an approach to solve the problem of generating a sequence of jobs that minimizes the total weighted tardiness for a set of jobs to be processed in a single machine. An Ant Colony System based algorithm is validated with benchmark problems available in the OR library. The obtained results were compared with the best available results and were found to be nearer to the optimal. The obtained computational results allowed concluding on their efficiency and effectiveness.por
dc.identifierDOI 10.1109/NaBIC.2012.6402244
dc.identifier.isbn978-1-4673-4769-3
dc.identifier.urihttp://hdl.handle.net/10400.22/1500
dc.language.isoengpor
dc.publisherIEEEpor
dc.relation.publisherversionhttp://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6402244por
dc.subjectSchedulingpor
dc.subjectOptimizationpor
dc.subjectWeighted tardinesspor
dc.subjectSwarm intelligencepor
dc.subjectAnt colony systempor
dc.titleAnt colony system based approach to single machine scheduling problems: weighted tardiness scheduling problempor
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlaceMexico City, Mexico, 2012por
oaire.citation.titleFourth World Congress on Nature and Biologically Inspired Computing (NaBIC)por
person.familyNameMadureira
person.familyNamePereira
person.givenNameAna Maria
person.givenNameIvo
person.identifier.ciencia-id7F1D-5AF2-A101
person.identifier.ciencia-id3E18-2D4C-0E14
person.identifier.orcid0000-0002-0264-4710
person.identifier.orcid0000-0001-5440-3225
person.identifier.ridAAH-1056-2021
person.identifier.ridN-1713-2016
person.identifier.scopus-author-id8634629500
person.identifier.scopus-author-id36675461900
rcaap.rightsclosedAccesspor
rcaap.typeconferenceObjectpor
relation.isAuthorOfPublicationcd5e5eb7-cf63-48c6-b6b9-a9db2fedebab
relation.isAuthorOfPublication097b47eb-e9f1-40cb-9fe3-ca46efc578cb
relation.isAuthorOfPublication.latestForDiscovery097b47eb-e9f1-40cb-9fe3-ca46efc578cb

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