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Case-based reasoning for meta-heuristics self-parameterization in a multi-agent scheduling system

dc.contributor.authorPereira, Ivo
dc.contributor.authorMadureira, Ana Maria
dc.contributor.authorMoura, Paulo Oliveira
dc.date.accessioned2013-05-13T11:33:09Z
dc.date.available2013-05-13T11:33:09Z
dc.date.issued2011
dc.date.updated2013-04-23T11:03:40Z
dc.description.abstractA novel agent-based approach to Meta-Heuristics self-configuration is proposed in this work. Meta-heuristics are examples of algorithms where parameters need to be set up as efficient as possible in order to unsure its performance. This paper presents a learning module for self-parameterization of Meta-heuristics (MHs) in a Multi-Agent System (MAS) for resolution of scheduling problems. The learning is based on Case-based Reasoning (CBR) and two different integration approaches are proposed. A computational study is made for comparing the two CBR integration perspectives. In the end, some conclusions are reached and future work outlined.por
dc.identifier.urihttp://hdl.handle.net/10400.22/1555
dc.language.isoengpor
dc.subjectCase-based reasoningpor
dc.subjectLearningpor
dc.subjectMetaheuristicspor
dc.subjectMulti-agent systemspor
dc.subjectSchedulingpor
dc.titleCase-based reasoning for meta-heuristics self-parameterization in a multi-agent scheduling systempor
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlaceCoimbra, Portugal, 2011por
oaire.citation.title2nd International Symposium on Computational Intelligence for Engineering Systems ISCIES '2011por
person.familyNamePereira
person.familyNameMadureira
person.givenNameIvo
person.givenNameAna Maria
person.identifier.ciencia-id3E18-2D4C-0E14
person.identifier.ciencia-id7F1D-5AF2-A101
person.identifier.orcid0000-0001-5440-3225
person.identifier.orcid0000-0002-0264-4710
person.identifier.ridN-1713-2016
person.identifier.ridAAH-1056-2021
person.identifier.scopus-author-id36675461900
person.identifier.scopus-author-id8634629500
rcaap.rightsopenAccesspor
rcaap.typeconferenceObjectpor
relation.isAuthorOfPublication097b47eb-e9f1-40cb-9fe3-ca46efc578cb
relation.isAuthorOfPublicationcd5e5eb7-cf63-48c6-b6b9-a9db2fedebab
relation.isAuthorOfPublication.latestForDiscovery097b47eb-e9f1-40cb-9fe3-ca46efc578cb

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