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How redundancy and neutrality may affect evolution on NK fitness

2007Conference object Open Access
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dc.contributor.authorCorreia, Marisol B.
dc.contributor.authorFonseca, C. M.
dc.date.accessioned2012-02-16T22:40:23Z
dc.date.available2012-02-16T22:40:23Z
dc.date.issued2007
dc.description.abstractAn experimental study was performed to determine whether it is neutrality itself or the larger neighborhoods associated with neutral representations that allow good results to be achieved on NK fitness landscape problems. Markov chains were used to model a stochastic hill climber on NK fitness landscapes, using three types of representation: a neutral network representation, a redundant representation without neutrality which exhibits the same neighborhood of the neutral representation and a non-redundant representation.por
dc.identifier.citation2007 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION, VOLS 1-10, PROCEEDINGS Book Series: IEEE Congress on Evolutionary Computation Pages: 2842-2849 DOI: 10.1109/CEC.2007.4424832 Published: 2007por
dc.identifier.isbn978-1-4244-1339-3
dc.identifier.otherAUT: MCO00732;
dc.identifier.urihttp://hdl.handle.net/10400.1/902
dc.language.isoengpor
dc.peerreviewedyespor
dc.relation.publisherversionhttp://dx.doi.org/10.1109/CEC.2007.4424832por
dc.subjectEvolutionary Computationpor
dc.subjectRedundant representationspor
dc.subjectNeutralitypor
dc.subjectError control codespor
dc.subjectNK fitness landscapespor
dc.titleHow redundancy and neutrality may affect evolution on NK fitnesspor
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlaceSingaporepor
oaire.citation.endPage2849por
oaire.citation.startPage2842por
oaire.citation.titleIEEE Congress on Evolutionary Computationpor
person.familyNameCorreia
person.givenNameMarisol B.
person.identifier.ciencia-idFE15-819A-4535
person.identifier.orcid0000-0002-1788-6114
person.identifier.scopus-author-id55333058000
rcaap.rightsopenAccesspor
rcaap.typeconferenceObjectpor
relation.isAuthorOfPublicationee01864e-dec4-4285-a4b7-4ccb53d9afaa
relation.isAuthorOfPublication.latestForDiscoveryee01864e-dec4-4285-a4b7-4ccb53d9afaa

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