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Circuit Synthesis Using Particle Swarm Optimization

dc.contributor.authorReis, Cecília
dc.contributor.authorTenreiro Machado, J. A.
dc.contributor.authorGalhano, Alexandra
dc.contributor.authorCunha, J. Boaventura
dc.date.accessioned2019-04-02T10:15:21Z
dc.date.embargo2105
dc.date.issued2006-08
dc.description.abstractParticle Swarm Optimization (PSO) is a population-based search algorithm that is initialized with a population of random solutions, called particles. In a PSO scheme each particle flies through the search space with a velocity that is adjusted dynamically according with its historical behavior. Therefore, the particles have a tendency to fly towards the best search area along the search process. PSO is also an evolutionary computation technique well adapted to the automatic design of electronic devices. In this line of thought, this paper proposes a PSO based algorithm for logic circuit synthesis. The results show the statistical characteristics of this algorithm with respect to number of generations required to achieve the solutions. The results are compared with other two Evolutionary Algorithms (EAs), namely Genetic and Memetic Algorithms (GA and MA).pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.1109/ICCCYB.2006.305723pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.22/13319
dc.language.isoengpt_PT
dc.publisherInstitute of Electrical and Electronics Engineerspt_PT
dc.relation.publisherversionhttps://ieeexplore.ieee.org/document/4097684pt_PT
dc.subjectCircuit synthesispt_PT
dc.subjectParticle swarm optimizationpt_PT
dc.subjectEvolutionary computationpt_PT
dc.titleCircuit Synthesis Using Particle Swarm Optimizationpt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlaceBudapest, Hungarypt_PT
oaire.citation.endPage154pt_PT
oaire.citation.startPage149pt_PT
oaire.citation.title2006 IEEE International Conference on Computational Cyberneticspt_PT
person.familyNameReis
person.familyNameTenreiro Machado
person.familyNameGalhano
person.givenNameCecília
person.givenNameJ. A.
person.givenNameAlexandra
person.identifier.ciencia-id7A18-4935-5B29
person.identifier.orcid0000-0001-6131-4677
person.identifier.orcid0000-0003-4274-4879
person.identifier.orcid0000-0001-8262-1369
person.identifier.ridM-2173-2013
person.identifier.scopus-author-id55989030100
person.identifier.scopus-author-id6603868968
rcaap.rightsclosedAccesspt_PT
rcaap.typeconferenceObjectpt_PT
relation.isAuthorOfPublication8128af5d-07d3-4b24-944d-30fde21ae59b
relation.isAuthorOfPublication82cd5c17-07b6-492b-b3e3-ecebdad1254f
relation.isAuthorOfPublicatione3969dd5-127d-4759-8008-e057e71a1baa
relation.isAuthorOfPublication.latestForDiscoverye3969dd5-127d-4759-8008-e057e71a1baa

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