A comparison of metaheuristics algorithms for combinatorial optimization problems. application to phase balancing in electric distribution systems

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dc.conicet.organizacionFundacion Bariloche. Instituto de Economia Energetica
dc.conicet.organizacionComision Nacional de Energia Atomica. Gerencia del Area de Investigaciones y Aplicaciones no Nucleares. Gerencia de Fisica (CAB)
dc.conicet.organizacionUniversidad de Porto
dc.conicet.organizacionUniversidad Tecnológica Nacional. Facultad Regional Buenos Aires
dc.conicet.paisOrganizacionArgentina
dc.conicet.paisOrganizacionArgentina
dc.conicet.paisOrganizacionPortugal
dc.conicet.paisOrganizacionArgentina
dc.conicet.produccionid4455012
dc.contributor.authorSchweickardt, Gustavo Alejandro
dc.contributor.authorMiranda, V.
dc.contributor.authorWiman, G.
dc.date.accessioned2016-12-15T20:32:25Z
dc.date.available2016-12-15T20:32:25Z
dc.date.issued2011-06
dc.date.updated2016-12-14T15:25:39Z
dc.description.abstractMetaheuristics Algorithms are widely recognized as one of most practical approaches for Combinatorial Optimization Problems. This paper presents a comparison between two metaheuristics to solve a problem of Phase Balancing in Low Voltage Electric Distribution Systems. Among the most representative mono-objective metaheuristics, was selected Simulated Annealing, to compare with a different metaheuristic approach: Evolutionary Particle Swarm Optimization. In this work, both of them are extended to fuzzy domain to modeling a multiobjective optimization, by mean of a fuzzy fitness function. A simulation on a real system is presented, and advantages of Swarm approach are evidenced.es
dc.description.filFil: Schweickardt, Gustavo Alejandro. Fundacion Bariloche. Instituto de Economia Energetica; Argentina. Comision Nacional de Energia Atomica. Gerencia del Area de Investigaciones y Aplicaciones no Nucleares. Gerencia de Fisica (CAB); Argentina
dc.description.filFil: Miranda, V.. Universidad de Porto; Portugal
dc.description.filFil: Wiman, G.. Universidad Tecnológica Nacional. Facultad Regional Buenos Aires; Argentina
dc.formatapplication/pdfes
dc.identifier.citationSchweickardt, Gustavo Alejandro; Miranda, V.; Wiman, G. ; A comparison of metaheuristics algorithms for combinatorial optimization problems. application to phase balancing in electric distribution systems; Planta Piloto de Ingeniería Química; Latin American Applied Research; 41; 2; 6-2011; 113-120es
dc.identifier.eissn1851-8796es
dc.identifier.issn0327-0793es
dc.identifier.urihttp://hdl.handle.net/11336/9486
dc.journal.ciudadBahía Blancaes
dc.journal.number2es
dc.journal.pagination113-120es
dc.journal.paisArgentinaes
dc.journal.titleLatin American Applied Researches
dc.journal.volume41es
dc.language.isoenges
dc.publisherPlanta Piloto de Ingeniería Químicaes
dc.relation.alternativeidinfo:eu-repo/semantics/altIdentifier/url/http://www.laar.uns.edu.ar/indexes/i41_02.htm
dc.relation.alternativeidinfo:eu-repo/semantics/altIdentifier/url/http://www.scielo.org.ar/scielo.php?script=sci_arttext&pid=S0327-07932011000200003&lng=es&nrm=iso&tlng=en
dc.rightsinfo:eu-repo/semantics/openAccess*
dc.rights.urihttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/es
dc.subjectMetaheuristic Algorithmes
dc.subjectSwarm Intelligencees
dc.subjectFuzzy Setses
dc.subjectElectric Distributiones
dc.subjectPhase Balancinges
dc.subject.classificationOrganización Industriales
dc.subject.classificationEconomía y Negocioses
dc.subject.classificationCIENCIAS SOCIALESes
dc.titleA comparison of metaheuristics algorithms for combinatorial optimization problems. application to phase balancing in electric distribution systemses
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:ar-repo/semantics/artículo
dc.typeinfo:eu-repo/semantics/publishedVersion

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