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An evolutionary hybrid Approach in the design of combinational digital circuits

dc.contributor.authorReis, Cecília
dc.contributor.authorTenreiro Machado, J. A.
dc.contributor.authorCunha, J. Boaventura
dc.date.accessioned2019-04-09T09:18:45Z
dc.date.available2019-04-09T09:18:45Z
dc.date.issued2005-12
dc.description.abstractThis paper presents a hybrid genetic algorithm, also know as memetic Algorithm (MA), applied to the design of combinational logic circuits. In view of the fact that hybrid algorithms have shown to be very effective in solving many hard combinatorial optimization approaches, The main idea is to apply a local refinement to an evolutary Algorithm (EA) in order to improve the fitness of the individuals in the population. The results show an improvement of the final fitness function followed by a reduction of the average number of generations required to reach the solutions and its standard deviation, for all the tested circuits.pt_PT
dc.description.versionN/Apt_PT
dc.identifier.issn1109-2777
dc.identifier.urihttp://hdl.handle.net/10400.22/13478
dc.language.isoengpt_PT
dc.subjectArtificial intelligencept_PT
dc.subjectDigital circuitspt_PT
dc.subjectEvolutionary computationpt_PT
dc.subjectGenetic Algorithmspt_PT
dc.subjectLogic designpt_PT
dc.subjectMemetic algorithmspt_PT
dc.titleAn evolutionary hybrid Approach in the design of combinational digital circuitspt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage2345pt_PT
oaire.citation.startPage2338pt_PT
oaire.citation.titleWSEAS Transactions on Power Systemspt_PT
oaire.citation.volume4pt_PT
person.familyNameReis
person.familyNameTenreiro Machado
person.givenNameCecília
person.givenNameJ. A.
person.identifier.ciencia-id7A18-4935-5B29
person.identifier.orcid0000-0001-6131-4677
person.identifier.orcid0000-0003-4274-4879
person.identifier.ridM-2173-2013
person.identifier.scopus-author-id55989030100
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication8128af5d-07d3-4b24-944d-30fde21ae59b
relation.isAuthorOfPublication82cd5c17-07b6-492b-b3e3-ecebdad1254f
relation.isAuthorOfPublication.latestForDiscovery82cd5c17-07b6-492b-b3e3-ecebdad1254f

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