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dc.contributor.author Carnero, Mercedes del Carmen
dc.contributor.author Hernandez, Jose Luis
dc.contributor.author Sanchez, Mabel Cristina
dc.date.available 2018-04-17T18:24:03Z
dc.date.issued 2009-02
dc.identifier.citation Carnero, 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.identifier.issn 1999-4893
dc.identifier.uri http://hdl.handle.net/11336/42342
dc.description.abstract In 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.format application/pdf
dc.language.iso eng
dc.publisher Molecular Diversity Preservation International
dc.rights info:eu-repo/semantics/openAccess
dc.rights.uri https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject SENSOR LOCATION
dc.subject STOCHASTIC OPTIMIZATION
dc.subject TABU SEARCH
dc.subject SCATTER SEARCH
dc.subject.classification Otras Ingeniería Química
dc.subject.classification Ingeniería Química
dc.subject.classification INGENIERÍAS Y TECNOLOGÍAS
dc.title Design of Sensor Networks for Chemical Plants Based on Meta-Heuristics
dc.type info:eu-repo/semantics/article
dc.type info:ar-repo/semantics/artículo
dc.type info:eu-repo/semantics/publishedVersion
dc.date.updated 2018-04-16T13:36:02Z
dc.journal.volume 2
dc.journal.number 1
dc.journal.pagination 259-281
dc.journal.pais Suiza
dc.journal.ciudad Basilea
dc.description.fil Fil: Carnero, Mercedes del Carmen. Universidad Nacional de Río Cuarto. Facultad de Ingeniería; Argentina
dc.description.fil Fil: Hernandez, Jose Luis. Universidad Nacional de Río Cuarto. Facultad de Ingeniería; Argentina
dc.description.fil Fil: 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.journal.title Algorithms
dc.relation.alternativeid info:eu-repo/semantics/altIdentifier/url/http://mdpi.com/1999-4893/2/1/259
dc.relation.alternativeid info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.3390/a2010259
dc.conicet.fuente individual


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info:eu-repo/semantics/openAccess Excepto donde se diga explícitamente, este item se publica bajo la siguiente descripción: Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Unported (CC BY-NC-SA 2.5)