Mostrar el registro sencillo del ítem

Capítulo de Libro

dc.creatorTroncoso Lora, Aliciaes
dc.creatorRiquelme Santos, José Cristóbales
dc.creatorMartínez Ramos, José Luises
dc.creatorRiquelme Santos, Jesús Manueles
dc.creatorGómez Expósito, Antonioes
dc.date.accessioned2016-04-01T10:06:02Z
dc.date.available2016-04-01T10:06:02Z
dc.date.issued2003
dc.identifier.citationTroncoso Lora, A., Riquelme Santos, J.C.,...,Gómez Expósito, A. (2003). Application of Evolutionary Computation Techniques to the Optimal Short-Term Scheduling of the Electrical Energy Production. En Current Topics in Artificial Intelligence, Lecture Notes in Computer Science, Volume 3040, pp 656-665 (2003) .
dc.identifier.urihttp://hdl.handle.net/11441/39332
dc.description.abstractIn this paper, an evolutionary technique applied to the optimal short-term scheduling (24 hours) of the electric energy production is presented. The equations that define the problem lead to a nonlinear mixed-integer programming problem with a high number of real and integer variables. Consequently, the resolution of the problem based on combinatorial methods is rather complex. The required heuristics, introduced to assure the feasibility of the constraints, are analyzed, along with a brief description of the proposed genetic algorithm. Finally, results from realistic cases based on the Spanish power system are reported, revealing the good performance of the proposed algorithm, taking into account the complexity and dimension of the problem.es
dc.formatapplication/pdfes
dc.language.isoenges
dc.relation.ispartofCurrent Topics in Artificial Intelligence, Lecture Notes in Computer Science, Volume 3040, pp 656-665 (2003)es
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectGenetic algorithmses
dc.subjectschedulinges
dc.subjectoptimizationes
dc.subjectfeasibilityes
dc.titleApplication of Evolutionary Computation Techniques to the Optimal Short-Term Scheduling of the Electrical Energy Productiones
dc.typeinfo:eu-repo/semantics/bookPartes
dcterms.identifierhttps://ror.org/03yxnpp24
dc.type.versioninfo:eu-repo/semantics/publishedVersiones
dc.rights.accessrightsinfo:eu-repo/semantics/openAccesses
dc.contributor.affiliationUniversidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticoses
dc.contributor.affiliationUniversidad de Sevilla. Departamento de Ingeniería Eléctricaes
dc.identifier.doihttp://dx.doi.org/10.1007/978-3-540-25945-9_65es
dc.identifier.idushttps://idus.us.es/xmlui/handle/11441/39332

FicherosTamañoFormatoVerDescripción
Application of evolutionary.pdf247.1KbIcon   [PDF] Ver/Abrir  

Este registro aparece en las siguientes colecciones

Mostrar el registro sencillo del ítem

Attribution-NonCommercial-NoDerivatives 4.0 Internacional
Excepto si se señala otra cosa, la licencia del ítem se describe como: Attribution-NonCommercial-NoDerivatives 4.0 Internacional