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Multi-Agent Adaptive Boosting on Semi-Supervised Water Supply Clusters

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Multi-Agent Adaptive Boosting on Semi-Supervised Water Supply Clusters

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dc.contributor.author Herrera Fernández, Antonio Manuel es_ES
dc.contributor.author Izquierdo Sebastián, Joaquín es_ES
dc.contributor.author Pérez García, Rafael es_ES
dc.contributor.author Montalvo Arango, Idel es_ES
dc.date.accessioned 2013-07-03T07:16:14Z
dc.date.issued 2012
dc.identifier.issn 0965-9978
dc.identifier.uri http://hdl.handle.net/10251/30406
dc.description.abstract [EN] The division of a water supply network (WSN) into isolated supply clusters aims at improving the management of the whole system. This paper deals with the application of spectral clustering to achieve this aim. A semi-supervised approach can take into account the graph structure of a network and incorporate the corresponding hydraulic constraints and the other available vector information from the WSN. Several of the disadvantages of these methodologies stem from the largeness of the most WSN and the associated computational complexity. To solve these problems, we propose subsampling graph data to run successive weak clusters and build a single robust cluster configuration. The resulting methodology has been tested in a real network and can be used to successfully partition large WSNs. es_ES
dc.description.sponsorship This work has been performed with the support of project IDA-WAS, DPI2009-11591 from the Direccion General de Investigacion del Ministerio de Educacion y Ciencia (Spain) and ACOMP/2011/188 from the Conselleria de Educacio of the Generalitat Valenciana. The use of English in this paper was revised by John Rawlins. en_EN
dc.language Inglés es_ES
dc.publisher ELSEVIER SCI LTD es_ES
dc.relation Direccion General de Investigacion del Ministerio de Educacion y Ciencia (Spain) [DPI2009-11591] es_ES
dc.relation Conselleria de Educacio of the Generalitat Valenciana [ACOMP/2011/188] es_ES
dc.relation.ispartof ADVANCES IN ENGINEERING SOFTWARE es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Clustering es_ES
dc.subject Graph theory es_ES
dc.subject Sampling es_ES
dc.subject Semi-supervised learning es_ES
dc.subject Multi-agent systems es_ES
dc.subject Water supply networks es_ES
dc.subject.classification INGENIERIA HIDRAULICA es_ES
dc.subject.classification MATEMATICA APLICADA es_ES
dc.title Multi-Agent Adaptive Boosting on Semi-Supervised Water Supply Clusters es_ES
dc.type Artículo es_ES
dc.embargo.lift 10000-01-01
dc.embargo.terms forever es_ES
dc.identifier.doi 10.1016/j.advengsoft.2012.02.005
dc.rights.accessRights Cerrado es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Matemática Aplicada - Departament de Matemàtica Aplicada es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Ingeniería Hidráulica y Medio Ambiente - Departament d'Enginyeria Hidràulica i Medi Ambient es_ES
dc.contributor.affiliation Universitat Politècnica de València. Instituto Universitario de Matemática Multidisciplinar - Institut Universitari de Matemàtica Multidisciplinària es_ES
dc.description.bibliographicCitation Herrera Fernández, AM.; Izquierdo Sebastián, J.; Pérez García, R.; Montalvo Arango, I. (2012). Multi-Agent Adaptive Boosting on Semi-Supervised Water Supply Clusters. ADVANCES IN ENGINEERING SOFTWARE. 50:131-136. doi:10.1016/j.advengsoft.2012.02.005 es_ES
dc.description.accrualMethod Senia es_ES
dc.relation.publisherversion http://dx.doi.org/10.1016/j.advengsoft.2012.02.005 es_ES
dc.description.upvformatpinicio 131 es_ES
dc.description.upvformatpfin 136 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 50 es_ES
dc.relation.senia 233934


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