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Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/47218
DC FieldValueLanguage
dc.contributor.authorWinter, G.en_US
dc.contributor.authorCruz, M.en_US
dc.contributor.authorGalvan, B.en_US
dc.contributor.authorGreiner, D.en_US
dc.date.accessioned2018-11-23T11:46:40Z-
dc.date.available2018-11-23T11:46:40Z-
dc.date.issued2000en_US
dc.identifier.isbn978-84-89925-70-0en_US
dc.identifier.isbn8489925704
dc.identifier.urihttp://hdl.handle.net/10553/47218-
dc.description.abstractThe unit commitment (UC) and Economic Dispatch (ED) are important part of the set of actions included in the concept of Power Systems Operation. In this paper we describe the application of Genetic Algoritms (GAs) to UC and ED problems using both binary and real coding, with increased efficiency because the use of Convergence Accelerators derived from Variance Reduction Techniques widely used in Monte Carlo Method, and parameter guide using an Expert System Core embedded in the GA code.en_US
dc.languageengen_US
dc.sourceEuropean Congress on Computational Methods in Applied Sciences and Engineering, ECCOMAS 2000en_US
dc.subject1206 Análisis numéricoen_US
dc.subject120601 Construcción de algoritmosen_US
dc.subject.otherEconomic dispatchen_US
dc.subject.otherEvolutionary computingen_US
dc.subject.otherExpert systemsen_US
dc.subject.otherGenetic algorithmsen_US
dc.subject.otherSchedulingen_US
dc.subject.otherUnit commitmenten_US
dc.titleOptimal scheduling of power generation by evolutionary algorithmsen_US
dc.typeinfo:eu-repo/semantics/conferenceObjectes
dc.typeConferenceObjectes
dc.relation.conferenceEuropean Congress on Computational Methods in Applied Sciences and Engineering, ECCOMAS 2000
dc.identifier.scopus84893363855-
dc.contributor.authorscopusid7202988477-
dc.contributor.authorscopusid57198350408-
dc.contributor.authorscopusid8704390300-
dc.contributor.authorscopusid56268125800-
dc.investigacionIngeniería y Arquitecturaen_US
dc.type2Actas de congresosen_US
dc.date.coverdateDiciembre 2000
dc.identifier.conferenceidevents121501
dc.identifier.ulpgcSíes
item.grantfulltextnone-
item.fulltextSin texto completo-
crisitem.event.eventsstartdate11-09-2000-
crisitem.event.eventsenddate14-09-2000-
crisitem.author.deptGIR SIANI: Computación Evolutiva y Aplicaciones-
crisitem.author.deptIU Sistemas Inteligentes y Aplicaciones Numéricas-
crisitem.author.deptDepartamento de Matemáticas-
crisitem.author.deptGIR SIANI: Computación Evolutiva y Aplicaciones-
crisitem.author.deptIU Sistemas Inteligentes y Aplicaciones Numéricas-
crisitem.author.deptGIR SIANI: Computación Evolutiva y Aplicaciones-
crisitem.author.deptIU Sistemas Inteligentes y Aplicaciones Numéricas-
crisitem.author.deptDepartamento de Ingeniería Civil-
crisitem.author.orcid0000-0003-0890-7267-
crisitem.author.orcid0000-0002-4132-7144-
crisitem.author.parentorgIU Sistemas Inteligentes y Aplicaciones Numéricas-
crisitem.author.parentorgIU Sistemas Inteligentes y Aplicaciones Numéricas-
crisitem.author.parentorgIU Sistemas Inteligentes y Aplicaciones Numéricas-
crisitem.author.fullNameWinter Althaus, Gabriel-
crisitem.author.fullNameGalvan Gonzalez,Blas Jose-
crisitem.author.fullNameGreiner Sánchez, David Juan-
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