Short-term hydrothermal coordination by augmented lagrangean relaxation: a new multiplier updating

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To access the full text documents, please follow this link: http://hdl.handle.net/2117/10883

dc.contributor	Universitat Politècnica de Catalunya. Departament d'Estadística i Investigació Operativa
dc.contributor	Universitat Politècnica de Catalunya. GNOM - Grup d'Optimització Numèrica i Modelització
dc.contributor.author	Beltrán Royo, César
dc.contributor.author	Heredia, F.-Javier (Francisco Javier)
dc.date	1999-12
dc.identifier.citation	1014-8264
dc.identifier.uri	http://hdl.handle.net/2117/10883
dc.language.iso	eng
dc.relation	http://www-2.dc.uba.ar/alio/io/issues/claio98.html
dc.rights	Attribution-NonCommercial-NoDerivs 3.0 Spain
dc.rights	info:eu-repo/semantics/openAccess
dc.rights	http://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subject	Àrees temàtiques de la UPC::Matemàtiques i estadística::Investigació operativa
dc.subject	Operations research
dc.subject	Investigació operativa
dc.subject	Classificació AMS::90 Operations research, mathematical programming
dc.title	Short-term hydrothermal coordination by augmented lagrangean relaxation: a new multiplier updating
dc.type	info:eu-repo/semantics/draft
dc.type	info:eu-repo/semantics/article
dc.description.abstract	The Augmented Lagrangean Relaxation (ALR) method is one of the most powerful techniques to solve the Short-Term Hydrothermal Coordination (STHC) problem. A crucial step when using the ALR method is the updating of the multipliers. In this paper we present a new multiplier updating procedure: the Gradient with Radar Step (GRS) method. The method has been successfully tested by solving medium-scale examples of the STHC problem

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