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Water Distribution System Computer-Aided Design by Agent Swarm Optimization

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Water Distribution System Computer-Aided Design by Agent Swarm Optimization

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dc.contributor.author Montalvo Arango, Idel es_ES
dc.contributor.author Izquierdo Sebastián, Joaquín es_ES
dc.contributor.author Pérez García, Rafael es_ES
dc.contributor.author Herrera Fernández, Antonio Manuel es_ES
dc.date.accessioned 2015-10-20T06:05:01Z
dc.date.available 2015-10-20T06:05:01Z
dc.date.issued 2014-07
dc.identifier.issn 1093-9687
dc.identifier.uri http://hdl.handle.net/10251/56241
dc.description.abstract Optimal design of water distribution systems (WDS), including the sizing of components, quality control, reliability, renewal and rehabilitation strategies, etc., is a complex problem in water engineering that requires robust methods of optimization. Classical methods of optimization are not well suited for analyzing highly-dimensional, multimodal, non-linear problems, especially given inaccurate, noisy, discrete and complex data. Agent Swarm Optimization (ASO) is a novel paradigm that exploits swarm intelligence and borrows some ideas from multiagent based systems. It is aimed at supporting decisionmaking processes by solving multi-objective optimization problems. ASO offers robustness through a framework where various population-based algorithms co-exist. The ASO framework is described and used to solve the optimal design of WDS. The approach allows engineers to work in parallel with the computational algorithms to force the recruitment of new searching elements, thus contributing to the solution process with expert-based proposals. es_ES
dc.description.sponsorship This work has been developed with the support of the project IDAWAS, DPI2009-11591, of the Spanish Ministry of Education and Science, and ACOMP/2010/146 of the education department of the Generalitat Valenciana. The use of English was revised by John Rawlins. en_EN
dc.language Inglés es_ES
dc.publisher Wiley: 12 months es_ES
dc.relation.ispartof Computer-Aided Civil and Infrastructure Engineering es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Water distribution systems (WDS) es_ES
dc.subject Agent Swarm Optimization (ASO) es_ES
dc.subject Computational algorithms es_ES
dc.subject.classification MATEMATICA APLICADA es_ES
dc.subject.classification INGENIERIA HIDRAULICA es_ES
dc.title Water Distribution System Computer-Aided Design by Agent Swarm Optimization es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1111/mice.12062
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%2F2010%2F146/ 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.contributor.affiliation Universitat Politècnica de València. Instituto Universitario de Matemática Multidisciplinar - Institut Universitari de Matemàtica Multidisciplinària es_ES
dc.description.bibliographicCitation Montalvo Arango, I.; Izquierdo Sebastián, J.; Pérez García, R.; Herrera Fernández, AM. (2014). Water Distribution System Computer-Aided Design by Agent Swarm Optimization. Computer-Aided Civil and Infrastructure Engineering. 29(6):433-448. https://doi.org/10.1111/mice.12062 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion http://dx.doi.org/10.1111/mice.12062 es_ES
dc.description.upvformatpinicio 433 es_ES
dc.description.upvformatpfin 448 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 29 es_ES
dc.description.issue 6 es_ES
dc.relation.senia 278182 es_ES
dc.identifier.eissn 1467-8667
dc.contributor.funder Ministerio de Ciencia e Innovación es_ES
dc.contributor.funder Generalitat Valenciana es_ES
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