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Social Network Community Detection for DMA Creation: Criteria Analysis through Multilevel Optimization

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Social Network Community Detection for DMA Creation: Criteria Analysis through Multilevel Optimization

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dc.contributor.author Brentan, Bruno M. es_ES
dc.contributor.author Campbell-Gonzalez, Enrique es_ES
dc.contributor.author Meirelles, Gustavo L. es_ES
dc.contributor.author Luvizotto, Edevar, Jr. es_ES
dc.contributor.author Izquierdo Sebastián, Joaquín es_ES
dc.date.accessioned 2018-06-01T04:20:36Z
dc.date.available 2018-06-01T04:20:36Z
dc.date.issued 2017 es_ES
dc.identifier.issn 1024-123X es_ES
dc.identifier.uri http://hdl.handle.net/10251/103127
dc.description.abstract [EN] Management of large water distribution systems can be improved by dividing their networks into so-called district metered areas (DMAs). However, such divisions must be based on appropriated technical criteria. Considering the importance of deeply understanding the relationship between DMA creation and these criteria, this work proposes a performance analysis of DMA generation that takes into account such indicators as resilience index, demand similarity, pressure uniformity, water age (and thus water quality), solution implantation costs, and electrical consumption. To cope with the complexity of the problem, suitable mathematical techniques are proposed in this paper. We use a social community detection technique to define the sectors, and then a multilevel particle swarm optimization approach is applied to find the optimal placement and operating point of the necessary devices. The results obtained by implementing themethodology in a real water supply network show its validity and the meaningful influence on the final result of, especially, elevation and pipe length. es_ES
dc.language Inglés es_ES
dc.publisher Hindawi Limited es_ES
dc.relation.ispartof Mathematical Problems in Engineering es_ES
dc.rights Reconocimiento (by) es_ES
dc.subject.classification MATEMATICA APLICADA es_ES
dc.title Social Network Community Detection for DMA Creation: Criteria Analysis through Multilevel Optimization es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1155/2017/9053238 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.description.bibliographicCitation Brentan, BM.; Campbell-Gonzalez, E.; Meirelles, GL.; Luvizotto, EJ.; Izquierdo Sebastián, J. (2017). Social Network Community Detection for DMA Creation: Criteria Analysis through Multilevel Optimization. Mathematical Problems in Engineering. (9053238):1-12. doi:10.1155/2017/9053238 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.1155/2017/9053238 es_ES
dc.description.upvformatpinicio 1 es_ES
dc.description.upvformatpfin 12 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.issue 9053238 es_ES
dc.relation.pasarela S\339505 es_ES


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