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dc.provenanceCONICET-
dc.creatorSchweickardt, Gustavo Alejandro-
dc.creatorMiranda, V.-
dc.creatorWiman, G.-
dc.date2016-12-15T20:32:25Z-
dc.date2016-12-15T20:32:25Z-
dc.date2011-06-
dc.date2016-12-14T15:25:39Z-
dc.date.accessioned2019-04-29T15:32:56Z-
dc.date.available2019-04-29T15:32:56Z-
dc.date.issued2011-06-
dc.identifierSchweickardt, Gustavo Alejandro; Miranda, V.; Wiman, G. ; A comparison of metaheuristics algorithms for combinatorial optimization problems. application to phase balancing in electric distribution systems; Plapiqui; Latin American Applied Research; 41; 2; 6-2011; 113-120-
dc.identifier0327-0793-
dc.identifierhttp://hdl.handle.net/11336/9486-
dc.identifier1851-8796-
dc.identifier.urihttp://rodna.bn.gov.ar:8080/jspui/handle/bnmm/296280-
dc.descriptionMetaheuristics 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.-
dc.descriptionFil: 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.descriptionFil: Miranda, V.. Universidad de Porto; Portugal-
dc.descriptionFil: Wiman, G. . Universidad Tecnológica Nacional. Facultad Regional Buenos Aires; Argentina-
dc.formatapplication/pdf-
dc.formatapplication/pdf-
dc.languageeng-
dc.publisherPlapiqui-
dc.relationinfo:eu-repo/semantics/altIdentifier/url/http://www.laar.uns.edu.ar/indexes/i41_02.htm-
dc.relationinfo: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.rightshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/-
dc.sourcereponame:CONICET Digital (CONICET)-
dc.sourceinstname:Consejo Nacional de Investigaciones Científicas y Técnicas-
dc.sourceinstacron:CONICET-
dc.source.urihttp://hdl.handle.net/11336/9486-
dc.subjectMETAHEURISTIC ALGORITHM-
dc.subjectSWARM INTELLIGENCE-
dc.subjectFUZZY SETS-
dc.subjectELECTRIC DISTRIBUTION-
dc.subjectPHASE BALANCING-
dc.subjectOrganización Industrial-
dc.subjectEconomía y Negocios-
dc.subjectCIENCIAS SOCIALES-
dc.titleA comparison of metaheuristics algorithms for combinatorial optimization problems. application to phase balancing in electric distribution systems-
dc.typeinfo:eu-repo/semantics/article-
dc.typeinfo:eu-repo/semantics/publishedVersion-
dc.typeinfo:ar-repo/semantics/articulo-
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