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Fitness Function Evaluation through Fractional Algorithms

dc.contributor.authorReis, Cecília
dc.contributor.authorMachado, J. A. Tenreiro
dc.date.accessioned2016-12-20T12:09:15Z
dc.date.embargo2115
dc.date.issued2011
dc.description.abstractThis paper proposes a Genetic Algorithm (GA) for the design of combinational logic circuits. The fitness function evaluation is calculated using Fractional Calculus. This approach extends the classical fitness function by including a fractional-order dynamical evaluation. The experiments reveal superior results when comparing with the classical method.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.1007/978-3-642-14788-3_44pt_PT
dc.identifier.isbn978-3-642-14787-6
dc.identifier.urihttp://hdl.handle.net/10400.22/8890
dc.language.isoengpt_PT
dc.publisherSpringerpt_PT
dc.relation.publisherversionhttp://link.springer.com/chapter/10.1007/978-3-642-14788-3_44pt_PT
dc.subjectGenetic Algorithm (GA)pt_PT
dc.subjectCombinational logic circuitspt_PT
dc.subjectFractional calculuspt_PT
dc.titleFitness Function Evaluation through Fractional Algorithmspt_PT
dc.typebook part
dspace.entity.typePublication
oaire.citation.endPage610pt_PT
oaire.citation.startPage607pt_PT
oaire.citation.titleDynamics, Games and Science IIpt_PT
oaire.citation.volumeIIpt_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.rightsclosedAccesspt_PT
rcaap.typebookPartpt_PT
relation.isAuthorOfPublication8128af5d-07d3-4b24-944d-30fde21ae59b
relation.isAuthorOfPublication82cd5c17-07b6-492b-b3e3-ecebdad1254f
relation.isAuthorOfPublication.latestForDiscovery8128af5d-07d3-4b24-944d-30fde21ae59b

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