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Circuit Synthesis through Combination of Evolutionary and Swarm Algorithms

dc.contributor.authorReis, Cecília
dc.contributor.authorTenreiro Machado, J. A.
dc.date.accessioned2019-04-08T13:26:29Z
dc.date.available2019-04-08T13:26:29Z
dc.date.issued2009-07
dc.description.abstractEvolutionary Computation (EC) is a growing research field of Artificial Intelligence (AI), particularly of Computational Intelligence (CI). EC is the general term for several computational techniques which use ideas and get inspiration from natural evolution/adaptation and is divided in two main areas: the Evolutionary Algorithms (EA) and the Swarm Intelligence (SI). This paper presents hybridization between an EA algorithm - the Genetic Algorithm (GA) and a SI algorithm - the Particle Swarm Optimization Algorithm (PSO). The resulting 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.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.urihttp://hdl.handle.net/10400.22/13452
dc.language.isoengpt_PT
dc.subjectComputational Intelligencept_PT
dc.subjectEvolutionary Computationpt_PT
dc.subjectGenetic Algorithmspt_PT
dc.subjectParticle Swarm Optimizationpt_PT
dc.subjectDigital Circuitspt_PT
dc.titleCircuit Synthesis through Combination of Evolutionary and Swarm Algorithmspt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlaceRodos (Rhodes) Island, Greecept_PT
oaire.citation.endPage120pt_PT
oaire.citation.startPage115pt_PT
oaire.citation.title13th WSEAS International Conference on COMPUTERSpt_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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