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Combining genetic and particle swarm algorithms for the design of combinational circuits

dc.contributor.authorReis, Cecília
dc.contributor.authorTenreiro Machado, J. A.
dc.date.accessioned2019-04-03T13:37:47Z
dc.date.available2019-04-03T13:37:47Z
dc.date.issued2007-11
dc.description.abstractEvolutionary computation (EC) is a growing research field of Artificial Intelligence (AI) and is divided in two main areas: the Evolutionary Algorithms (EA) and the Swarm Intelligence (SI). This paper presents an algorithm that combines an EA algorithm - the Genetic Algorithm (GA) with a SI algorithm - the Particle Swarm Optimization Algorithm (PSO). The new algorithm is applied to the synthesis of combinational logic circuits. With this combination is possible to take advantage of the best features of each particular algorithm.pt_PT
dc.description.versionN/Apt_PT
dc.identifier.urihttp://hdl.handle.net/10400.22/13362
dc.language.isoengpt_PT
dc.titleCombining genetic and particle swarm algorithms for the design of combinational circuitspt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlaceCoimbra – Portugalpt_PT
oaire.citation.endPage251pt_PT
oaire.citation.startPage246pt_PT
oaire.citation.titleCEE'07 - 2nd INTERNATIONAL CONFERENCE ON ELECTRICAL ENGINEERINGpt_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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