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dc.contributor.author | Izquierdo Sebastián, Joaquín | es_ES |
dc.contributor.author | Montalvo Arango, Idel | es_ES |
dc.contributor.author | Pérez García, Rafael | es_ES |
dc.contributor.author | Campbell, Enrique | es_ES |
dc.date.accessioned | 2015-11-30T10:39:12Z | |
dc.date.available | 2015-11-30T10:39:12Z | |
dc.date.issued | 2014 | |
dc.identifier.uri | http://hdl.handle.net/10251/58308 | |
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. | es_ES |
dc.description.sponsorship | This 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.language | Inglés | es_ES |
dc.publisher | Elsevier | es_ES |
dc.relation.ispartof | Procedia Engineering | es_ES |
dc.rights | Reconocimiento - No comercial - Sin obra derivada (by-nc-nd) | es_ES |
dc.subject | Data mining | es_ES |
dc.subject | Evolutionary algorithms | es_ES |
dc.subject | Agent swarm optimization | es_ES |
dc.subject | Kohonen SOM | es_ES |
dc.subject | Bayesian networks | es_ES |
dc.subject | Decision making | es_ES |
dc.subject.classification | MATEMATICA APLICADA | es_ES |
dc.subject.classification | INGENIERIA HIDRAULICA | es_ES |
dc.title | Mining solution spaces for decision making in water distribution systems | es_ES |
dc.type | Artículo | es_ES |
dc.type | Comunicación en congreso | |
dc.identifier.doi | 10.1016/j.proeng.2014.02.095 | |
dc.relation.projectID | info: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.projectID | info:eu-repo/grantAgreement/GVA//ACOMP%2F2011%2F188/ | es_ES |
dc.rights.accessRights | Abierto | 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.description.bibliographicCitation | Izquierdo 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.2014.02.095 | es_ES |
dc.description.accrualMethod | S | es_ES |
dc.relation.conferencename | 12th International Conference on Computing-and-Control-for-the-Water-Industry (CCWI) | |
dc.relation.conferencedate | September 02-04, 2013 | |
dc.relation.conferenceplace | Perugia, Italy | |
dc.relation.publisherversion | http://dx.doi.org/10.1016/j.proeng.2014.02.095 | es_ES |
dc.description.upvformatpinicio | 864 | es_ES |
dc.description.upvformatpfin | 871 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.description.volume | 70 | es_ES |
dc.relation.senia | 278180 | es_ES |
dc.identifier.eissn | 1877-7058 | |
dc.contributor.funder | Ministerio de Ciencia e Innovación | |
dc.contributor.funder | Generalitat Valenciana |