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Developing redundant binary representations for genetic search

dc.contributor.authorFonseca, C. M.
dc.contributor.authorCorreia, Marisol B.
dc.date.accessioned2012-03-23T19:00:34Z
dc.date.available2012-03-23T19:00:34Z
dc.date.issued2005
dc.date.updated2012-03-20T18:15:53Z
dc.description.abstractThis paper considers the development of redundant representations for evolutionary computation. Two new families of redundant binary representations are proposed in the context of a simple mutationselection evolutionary model. The first is a family of linear encodings in which the connectivity of the search space may be designed directly via a decoding matrix. The second is a family of representations exhibiting various degrees of neutrality, and is constructed using mathematical tools from error-control coding theory. The study of these representations provides additional insight into the properties of redundant encodings, such as synonymity, locality, and connectivity, and into their interrelationships.por
dc.identifier.citationFonseca, C.M.; Correia, M.B. Developing Redundant Binary Representations for Genetic Search, Trabalho apresentado em 2005 IEEE Congress on Evolutionary Computation, In 2005 IEEE Congress on Evolutionary Computation, Edinburgh, Scotland, UK, 2005.por
dc.identifier.issn0-7803-9363-5
dc.identifier.otherAUT: MCO00732;
dc.identifier.urihttp://hdl.handle.net/10400.1/946
dc.language.isoengpor
dc.peerreviewedyespor
dc.publisherIEEEpor
dc.titleDeveloping redundant binary representations for genetic searchpor
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlaceEdinburgh, Scotland, UKpor
oaire.citation.title2005 IEEE 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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