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Accelerating multi-objective control system design using a neuro-genetic approach

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dc.contributor.authorDuarte, N. M.
dc.contributor.authorRuano, Antonio
dc.contributor.authorFonseca, C. M.
dc.contributor.authorFleming, P. J.
dc.date.accessioned2013-01-31T11:39:13Z
dc.date.available2013-01-31T11:39:13Z
dc.date.issued2000
dc.date.updated2013-01-28T09:29:06Z
dc.description.abstractDesigning control systems using multiobjective genetic algorithms can lead to a substantial computational load as a result of the repeated evaluation of the multiple objectives and the population-based nature of the search. Here, a neural network approach, based on radial basis functions, is introduced to alleviate this problem by providing computationally inexpensive estimates of objective values during the search. A straightforward example demonstrates the utility of the approach.por
dc.identifier.citationDuarte, N. M.; Ruano, A. E.; Fonseca, C. M.; Fleming, P. J. Accelerating multi-objective control system design using a neuro-genetic approach, Trabalho apresentado em 2000 Congress on Evolutionary Computation, In Proceedings of the 2000 Congress on Evolutionary Computation. CEC00 (Cat. No.00TH8512), La Jolla, CA, USA, 2000.por
dc.identifier.isbn0-7803-6375-2
dc.identifier.otherAUT: ARU00698;
dc.identifier.urihttp://hdl.handle.net/10400.1/2162
dc.language.isoengpor
dc.peerreviewedyespor
dc.publisherIEEEpor
dc.subjectMmultiobjective optimisationpor
dc.subjectGenetic algorithmspor
dc.subjectComputer-aided control system designpor
dc.titleAccelerating multi-objective control system design using a neuro-genetic approachpor
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlaceLa Jolla, CA, USApor
oaire.citation.endPage397por
oaire.citation.startPage392por
oaire.citation.title2000 Congress on Evolutionary Computation. CEC00 (Cat. No.00TH8512)por
person.familyNameRuano
person.givenNameAntonio
person.identifier.orcid0000-0002-6308-8666
person.identifier.ridB-4135-2008
person.identifier.scopus-author-id7004284159
rcaap.rightsrestrictedAccesspor
rcaap.typeconferenceObjectpor
relation.isAuthorOfPublication13813664-b68b-40aa-97a9-91481a31ebf2
relation.isAuthorOfPublication.latestForDiscovery13813664-b68b-40aa-97a9-91481a31ebf2

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