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MASDScheGATS: a prototype system for dynamic scheduling

dc.contributor.authorMadureira, Ana Maria
dc.contributor.authorSantos, Joaquim
dc.contributor.authorPereira, Ivo
dc.date.accessioned2013-04-12T15:20:51Z
dc.date.available2013-04-12T15:20:51Z
dc.date.issued2007
dc.date.updated2013-04-12T14:28:37Z
dc.description.abstractA manufacturing system has a natural dynamic nature observed through several kinds of random occurrences and perturbations on working conditions and requirements over time. For this kind of environment it is important the ability to efficient and effectively adapt, on a continuous basis, existing schedules according to the referred disturbances, keeping performance levels. The application of Meta-Heuristics and Multi-Agent Systems to the resolution of this class of real world scheduling problems seems really promising. This paper presents a prototype for MASDScheGATS (Multi-Agent System for Distributed Manufacturing Scheduling with Genetic Algorithms and Tabu Search).por
dc.identifier.isbn978-960-6766-21-3
dc.identifier.urihttp://hdl.handle.net/10400.22/1262
dc.language.isoengpor
dc.publisherWSEASpor
dc.subjectSchedulingpor
dc.titleMASDScheGATS: a prototype system for dynamic schedulingpor
dc.typeconference object
dspace.entity.typePublication
oaire.citation.endPage358por
oaire.citation.startPage353por
oaire.citation.title6th WSEAS Int. Conference on Computational Intelligence, Man-Machine Systems and Cyberneticspor
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.rightsopenAccesspor
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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