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Collective intelligence on dynamic manufacturing scheduling optimization

dc.contributor.authorMadureira, Ana Maria
dc.contributor.authorPereira, Ivo
dc.contributor.authorSousa, Nelson
dc.date.accessioned2013-05-10T10:19:48Z
dc.date.available2013-05-10T10:19:48Z
dc.date.issued2010
dc.date.updated2013-04-23T11:07:07Z
dc.description.abstractSwarm Intelligence (SI) is a growing research field of Artificial Intelligence (AI). SI is the general term for several computational techniques which use ideas and get inspiration from the social behaviours of insects and of other animals. This paper presents hybridization and combination of different AI approaches, like Bio-Inspired Techniques (BIT), Multi-Agent systems (MAS) and Machine Learning Techniques (ML T). The resulting system is applied to the problem of jobs scheduling to machines on dynamic manufacturing environments.por
dc.identifierDOI 10.1109/BICTA.2010.5645248
dc.identifier.isbn978-1-4244-6437-1
dc.identifier.urihttp://hdl.handle.net/10400.22/1539
dc.language.isoengpor
dc.publisherIEEEpor
dc.relation.publisherversionhttp://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5645248por
dc.subjectSwarm intelligencepor
dc.subjectScheduling optimizationpor
dc.subjectLearning in multi-agent systemspor
dc.titleCollective intelligence on dynamic manufacturing scheduling optimizationpor
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlaceChangsha, China, 2010por
oaire.citation.titleIEEE Fifth International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA)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.latestForDiscoverycd5e5eb7-cf63-48c6-b6b9-a9db2fedebab

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