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Water pollution management with evolutionary multi-objective optimisation and preferences

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Water pollution management with evolutionary multi-objective optimisation and preferences

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dc.contributor.author Reynoso-Meza, Gilberto es_ES
dc.contributor.author Carreño-Alvarado, Elizabeth P. es_ES
dc.contributor.author Montalvo Arango, Idel es_ES
dc.contributor.author Izquierdo Sebastián, Joaquín es_ES
dc.date.accessioned 2022-01-19T09:17:29Z
dc.date.available 2022-01-19T09:17:29Z
dc.date.issued 2017-07-05 es_ES
dc.identifier.isbn 978-84-947311-0-5 es_ES
dc.identifier.uri http://hdl.handle.net/10251/179925
dc.description.abstract [EN] Dealing with real world engineering problems, often comes with facing multiple and conflicting objectives and requirements. Water distributions systems (WDS) are not exempt from this: while cost and hydraulic performance are usually conflicting objectives, several requirements related with environmental issues in water sources might be in conflict as well. Commonly, optimisation statements are defined in order to address the WDS design and/or management. Multi-objective optimisation can handle such conflicting objectives, by means of a simultaneous optimisation of the design objectives. At the end of such process, a potential set of solutions, the Pareto front, are calculated. In such a set of solutions, there is not a best solution, but a preferable solution. In this paper, we will apply a multi-objective optimisation process with preferences in order to deal with a water pollution management constrained problem with 6 design objectives. With the provided example, it will be shown the usefulness of such tools for decision making and trade-off analysis for WDS management. es_ES
dc.description.sponsorship First author would like to acknowledge the National Council of Scientific and Technological Development of Brazil (CNPq) for providing funding through the grant PQ-2/304066/2016-8. The second author acknowledges SEMNI for providing registration fees for this conference es_ES
dc.language Inglés es_ES
dc.publisher International Center for Numerical Methods in Engineering (CIMNE) es_ES
dc.relation.ispartof Congreso de Métodos Numéricos en Ingeniería (CMN 2017). Actas es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Water distribution systems es_ES
dc.subject Multi-objective optimisation es_ES
dc.subject Evolutionary multi-objective optimisation es_ES
dc.subject.classification INGENIERIA DE SISTEMAS Y AUTOMATICA es_ES
dc.subject.classification MATEMATICA APLICADA es_ES
dc.title Water pollution management with evolutionary multi-objective optimisation and preferences es_ES
dc.type Comunicación en congreso es_ES
dc.type Capítulo de libro es_ES
dc.relation.projectID info:eu-repo/grantAgreement/CNPq//PQ-2%2F304066%2F2016-8/ 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 de Sistemas y Automática - Departament d'Enginyeria de Sistemes i Automàtica es_ES
dc.description.bibliographicCitation Reynoso-Meza, G.; Carreño-Alvarado, EP.; Montalvo Arango, I.; Izquierdo Sebastián, J. (2017). Water pollution management with evolutionary multi-objective optimisation and preferences. International Center for Numerical Methods in Engineering (CIMNE). 1692-1700. http://hdl.handle.net/10251/179925 es_ES
dc.description.accrualMethod S es_ES
dc.relation.conferencename Congreso de Métodos Numéricos en Ingeniería (CMN 2017) es_ES
dc.relation.conferencedate Julio 03-05,2017 es_ES
dc.relation.conferenceplace Valencia, Spain es_ES
dc.relation.publisherversion http://congress.cimne.com/cmn2017/frontal/default.asp es_ES
dc.description.upvformatpinicio 1692 es_ES
dc.description.upvformatpfin 1700 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.relation.pasarela S\340846 es_ES
dc.contributor.funder Conselho Nacional de Desenvolvimento Científico e Tecnológico, Brasil es_ES


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