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Mining solution spaces for decision making in water distribution systems

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Mining solution spaces for decision making in water distribution systems

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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. doi:10.1016/j.proeng.2014.02.095

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/58308

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Title: Mining solution spaces for decision making in water distribution systems
Author:
UPV Unit: Universitat Politècnica de València. Departamento de Matemática Aplicada - Departament de Matemàtica Aplicada
Universitat Politècnica de València. Departamento de Ingeniería Hidráulica y Medio Ambiente - Departament d'Enginyeria Hidràulica i Medi Ambient
Issued date:
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) ...[+]
Subjects: Data mining , Evolutionary algorithms , Agent swarm optimization , Kohonen SOM , Bayesian networks , Decision making
Copyrigths: Reconocimiento - No comercial - Sin obra derivada (by-nc-nd)
Source:
Procedia Engineering. (eissn: 1877-7058 )
DOI: 10.1016/j.proeng.2014.02.095
Publisher:
Elsevier
Publisher version: http://dx.doi.org/10.1016/j.proeng.2014.02.095
Conference name: 12th International Conference on Computing-and-Control-for-the-Water-Industry (CCWI)
Conference place: Perugia, Italy
Conference date: September 02-04, 2013
Thanks:
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 ...[+]
Type: Artículo Comunicación en congreso

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