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Meta-heuristics self-parameterization in a multi-agent scheduling system using case-based reasoning

dc.contributor.authorPereira, Ivo
dc.contributor.authorMadureira, Ana Maria
dc.contributor.authorMoura, Paulo Oliveira
dc.date.accessioned2014-03-31T10:14:45Z
dc.date.available2014-03-31T10:14:45Z
dc.date.issued2013
dc.description.abstractThis paper proposes a novel agent-based approach to Meta-Heuristics self-configuration. Meta-heuristics are algorithms with parameters which need to be set up as efficient as possible in order to unsure its performance. A learning module for self-parameterization of Meta-heuristics (MH) in a Multi-Agent System (MAS) for resolution of scheduling problems is proposed in this work. The learning module 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. Finally, some conclusions are reached and future work outlined.por
dc.identifier.doi10.1007/978-94-007-4722-7_10pt_PT
dc.identifier.isbn978-94-007-4721-0
dc.identifier.isbn978-94-007-4722-7
dc.identifier.issn2213-8986
dc.identifier.urihttp://hdl.handle.net/10400.22/4291
dc.language.isoengpor
dc.peerreviewedyespor
dc.publisherSpringerpor
dc.relation.ispartofseriesIntelligent Systems, Control and Automation: Science and Engineering; Vol. 61
dc.relation.publisherversionhttp://link.springer.com/chapter/10.1007/978-94-007-4722-7_10por
dc.subjectComputational intelligencepor
dc.subjectArtificial intelligencepor
dc.subjectInformation systems applicationspor
dc.titleMeta-heuristics self-parameterization in a multi-agent scheduling system using case-based reasoningpor
dc.typebook part
dspace.entity.typePublication
oaire.citation.endPage109por
oaire.citation.startPage99por
oaire.citation.titleComputational Intelligence and Decision Making: Trends and Applicationspor
oaire.citation.volumeVol. 61por
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.rightsclosedAccesspor
rcaap.typebookPartpor
relation.isAuthorOfPublication097b47eb-e9f1-40cb-9fe3-ca46efc578cb
relation.isAuthorOfPublicationcd5e5eb7-cf63-48c6-b6b9-a9db2fedebab
relation.isAuthorOfPublication.latestForDiscovery097b47eb-e9f1-40cb-9fe3-ca46efc578cb

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