Mining solution spaces for decision making in water distribution systems

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dc.contributor.affiliationEscuela Técnica Superior de Ingeniería de Telecomunicación
dc.contributor.affiliationDepartamento de Matemática Aplicada
dc.contributor.affiliationInstituto Universitario de Matemática Multidisciplinar
dc.contributor.authorIzquierdo Sebastián, Joaquín
dc.contributor.authorMontalvo Arango, Ideles_ES
dc.contributor.authorPérez García, Rafaeles_ES
dc.contributor.authorCampbell, Enriquees_ES
dc.contributor.funderMinisterio de Ciencia e Innovación
dc.contributor.funderGeneralitat Valenciana
dc.date.accessioned2015-11-30T10:39:12Z
dc.date.available2015-11-30T10:39:12Z
dc.date.issued2014
dc.description.abstract[EN] Data mining solutions can be applied in combination with evolutionary algorithms to extract relevant information from solution spaces analyzed during optimization processes regarding water distribution system (WDS) design. Firstly, results from data mining can be introduced into the evolutionary algorithms to guide the search of solutions. Secondly, data mining techniques can be used not only to help explore the population of potential solutions but also to exploit data regarding the behavior of the WDS under different work conditions. As a result, applications can be developed for supporting decision making regarding WDS models in both offline and online contexts.en_EN
dc.description.accrualMethodSes_ES
dc.description.bibliographicCitationIzquierdo Sebastián, J.; Montalvo Arango, I.; Pérez García, R.; Campbell, E. (2014). Mining solution spaces for decision making in water distribution systems. Procedia Engineering. 70:864-871. https://doi.org/10.1016/j.proeng.2014.02.095es_ES
dc.description.sponsorshipThis work has been supported by project IDAWAS, DPI2009- 11591, of the Direccion General de Investigacion of the Ministerio de Ciencia e Innovacion of Spain, and ACOMP/ 2011/ 188 of the Conselleria d'Educacio of the Generalitat Valenciana.
dc.description.upvformatpfin871es_ES
dc.description.upvformatpinicio864es_ES
dc.description.volume70es_ES
dc.identifier.doi10.1016/j.proeng.2014.02.095
dc.identifier.eissn1877-7058
dc.identifier.urihttps://riunet.upv.es/handle/10251/58308
dc.languageIngléses_ES
dc.publisherElsevieres_ES
dc.relation.conferencedateSeptember 02-04, 2013
dc.relation.conferencename12th International Conference on Computing-and-Control-for-the-Water-Industry (CCWI)
dc.relation.conferenceplacePerugia, Italy
dc.relation.ispartofProcedia Engineeringes_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/MICINN//DPI2009-11591/ES/Aplicacion De Herramientas Del Analisis Inteligente De Datos En La Gestion Tecnica De Sistemas De Distribucion Y Evacuacion De Aguas/es_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/GVA//ACOMP%2F2011%2F188/es_ES
dc.relation.publisherversionhttp://dx.doi.org/10.1016/j.proeng.2014.02.095es_ES
dc.relation.senia278180es_ES
dc.rightsReconocimiento - No comercial - Sin obra derivada (by-nc-nd)es_ES
dc.rights.accessRightsAbiertoes_ES
dc.subjectData mininges_ES
dc.subjectEvolutionary algorithmses_ES
dc.subjectAgent swarm optimizationes_ES
dc.subjectKohonen SOMes_ES
dc.subjectBayesian networkses_ES
dc.subjectDecision makinges_ES
dc.subject.classificationMATEMATICA APLICADAes_ES
dc.subject.classificationINGENIERIA HIDRAULICAes_ES
dc.titleMining solution spaces for decision making in water distribution systemses_ES
dc.typeArtículoes_ES
dc.typeComunicación en congreso
dc.type.versioninfo:eu-repo/semantics/publishedVersiones_ES
dspace.entity.typePublication
person.identifier836
person.identifier.orcid0000-0002-6625-7226
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