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dc.creatorCarnero, Mercedes del Carmen-
dc.creatorHernandez, Jose Luis-
dc.creatorSanchez, Mabel Cristina-
dc.date2018-04-17T18:24:03Z-
dc.date2018-04-17T18:24:03Z-
dc.date2009-02-
dc.date2018-04-16T13:36:02Z-
dc.date.accessioned2019-04-29T15:57:07Z-
dc.date.available2019-04-29T15:57:07Z-
dc.identifierCarnero, Mercedes del Carmen; Hernandez, Jose Luis; Sanchez, Mabel Cristina; Design of Sensor Networks for Chemical Plants Based on Meta-Heuristics; Molecular Diversity Preservation International; Algorithms; 2; 1; 2-2009; 259-281-
dc.identifier1999-4893-
dc.identifierhttp://hdl.handle.net/11336/42342-
dc.identifierCONICET Digital-
dc.identifierCONICET-
dc.identifier.urihttp://rodna.bn.gov.ar:8080/jspui/handle/bnmm/306067-
dc.descriptionIn this work the optimal design of sensor networks for chemical plants is addressed using stochastic optimization strategies. The problem consists in selecting the type, number and location of new sensors that provide the required quantity and quality of process information. Ad-hoc strategies based on Tabu Search, Scatter Search and Population Based Incremental Learning Algorithms are proposed. Regarding Tabu Search, the intensification and diversification capabilities of the technique are enhanced using Path Relinking. The strategies are applied for solving minimum cost design problems subject to quality constraints on variable estimates, and their performances are compared.-
dc.descriptionFil: Carnero, Mercedes del Carmen. Universidad Nacional de Río Cuarto. Facultad de Ingeniería; Argentina-
dc.descriptionFil: Hernandez, Jose Luis. Universidad Nacional de Río Cuarto. Facultad de Ingeniería; Argentina-
dc.descriptionFil: Sanchez, Mabel Cristina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Planta Piloto de Ingeniería Química. Universidad Nacional del Sur. Planta Piloto de Ingeniería Química; Argentina-
dc.formatapplication/pdf-
dc.formatapplication/pdf-
dc.languageeng-
dc.publisherMolecular Diversity Preservation International-
dc.relationinfo:eu-repo/semantics/altIdentifier/url/http://mdpi.com/1999-4893/2/1/259-
dc.relationinfo:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.3390/a2010259-
dc.rightsinfo:eu-repo/semantics/openAccess-
dc.rightshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/-
dc.sourcereponame:CONICET Digital (CONICET)-
dc.sourceinstname:Consejo Nacional de Investigaciones Científicas y Técnicas-
dc.sourceinstacron:CONICET-
dc.subjectSENSOR LOCATION-
dc.subjectSTOCHASTIC OPTIMIZATION-
dc.subjectTABU SEARCH-
dc.subjectSCATTER SEARCH-
dc.subjectOtras Ingeniería Química-
dc.subjectIngeniería Química-
dc.subjectINGENIERÍAS Y TECNOLOGÍAS-
dc.titleDesign of Sensor Networks for Chemical Plants Based on Meta-Heuristics-
dc.typeinfo:eu-repo/semantics/article-
dc.typeinfo:eu-repo/semantics/publishedVersion-
dc.typeinfo:ar-repo/semantics/articulo-
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