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A Memetic Algorithm for Logic Circuit Design

dc.contributor.authorReis, Cecília
dc.contributor.authorTenreiro Machado, J. A.
dc.contributor.authorCunha, J. Boaventura
dc.date.accessioned2019-03-29T12:06:17Z
dc.date.available2019-03-29T12:06:17Z
dc.date.issued2005-11
dc.description.abstractMemetic Algorithms (MAs) have shown to be very effective in solving many hard combinatorial optimization problems. In this perspective, this paper presents a MA for combinational logic circuits synthesis. The proposed MA combines a Genetic Algorithm (GA) for digital circuit design with the gate type local search (GTLS). The combination of a global and a local search is a strategy used by many successful hybrid optimization approaches. The main idea is to apply a local refinement to an Evolutionary Algorithm (EA) in order to improve the fitness of the individuals in the population. The obtained results indicate that the MA reduces the number of generations required to reach the solutions and its standard deviation while improves the final fitness function.pt_PT
dc.description.versionN/Apt_PT
dc.identifier.urihttp://hdl.handle.net/10400.22/13234
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.titleA Memetic Algorithm for Logic Circuit Designpt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlaceVenice, Italypt_PT
oaire.citation.endPage603pt_PT
oaire.citation.startPage598pt_PT
oaire.citation.title2005 WSEAS Int. Conf. on DYNAMICAL SYSTEMS and CONTROLpt_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.typeconferenceObjectpt_PT
relation.isAuthorOfPublication8128af5d-07d3-4b24-944d-30fde21ae59b
relation.isAuthorOfPublication82cd5c17-07b6-492b-b3e3-ecebdad1254f
relation.isAuthorOfPublication.latestForDiscovery8128af5d-07d3-4b24-944d-30fde21ae59b

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