Optimal Instrumentation: Adjustment and Hybridization of a Simulated Annealing Based Technique

Autores
Hernández, José Luis; Salto, Carolina; Minetti, Gabriela F.; Carnero, Mercedes; Bermúdez, Carlos; Sánchez, Mabel
Año de publicación
2019
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
This work presents an analysis on the behavior of a particular metaheuristic technique inspired by Simulated Annealing, SA, for the resolution of a problem of sensor network design in process plants, SNDP. This design problem is formulated as a combinatorial optimization problem and includes the selection and determination of the number of process variables that must be measured to achieve the specific state of knowledge about the plant. Different parametric configurations for the proposed heuristic are analyzed and discussed, as well as their performance in plants of increasing size and complexity.
XX Workshop Agentes y Sistemas Inteligentes.
Red de Universidades con Carreras en Informática
Materia
Ciencias Informáticas
Sensor network
Combinatorial optimization
Metaheuristics
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/4.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/90898
Acceder
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oai_identifier_str oai:sedici.unlp.edu.ar:10915/90898
network_acronym_str SEDICI
repository_id_str 1329
network_name_str SEDICI (UNLP)
spelling Optimal Instrumentation: Adjustment and Hybridization of a Simulated Annealing Based TechniqueHernández, José LuisSalto, CarolinaMinetti, Gabriela F.Carnero, MercedesBermúdez, CarlosSánchez, MabelCiencias InformáticasSensor networkCombinatorial optimizationMetaheuristicsThis work presents an analysis on the behavior of a particular metaheuristic technique inspired by Simulated Annealing, SA, for the resolution of a problem of sensor network design in process plants, SNDP. This design problem is formulated as a combinatorial optimization problem and includes the selection and determination of the number of process variables that must be measured to achieve the specific state of knowledge about the plant. Different parametric configurations for the proposed heuristic are analyzed and discussed, as well as their performance in plants of increasing size and complexity.XX Workshop Agentes y Sistemas Inteligentes.Red de Universidades con Carreras en Informática2019-10info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdf95-104http://sedici.unlp.edu.ar/handle/10915/90898enginfo:eu-repo/semantics/altIdentifier/isbn/978-987-688-377-1info:eu-repo/semantics/reference/hdl/10915/90359info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-10-22T16:59:53Zoai:sedici.unlp.edu.ar:10915/90898Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-10-22 16:59:53.289SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv Optimal Instrumentation: Adjustment and Hybridization of a Simulated Annealing Based Technique
title Optimal Instrumentation: Adjustment and Hybridization of a Simulated Annealing Based Technique
spellingShingle Optimal Instrumentation: Adjustment and Hybridization of a Simulated Annealing Based Technique
Hernández, José Luis
Ciencias Informáticas
Sensor network
Combinatorial optimization
Metaheuristics
title_short Optimal Instrumentation: Adjustment and Hybridization of a Simulated Annealing Based Technique
title_full Optimal Instrumentation: Adjustment and Hybridization of a Simulated Annealing Based Technique
title_fullStr Optimal Instrumentation: Adjustment and Hybridization of a Simulated Annealing Based Technique
title_full_unstemmed Optimal Instrumentation: Adjustment and Hybridization of a Simulated Annealing Based Technique
title_sort Optimal Instrumentation: Adjustment and Hybridization of a Simulated Annealing Based Technique
dc.creator.none.fl_str_mv Hernández, José Luis
Salto, Carolina
Minetti, Gabriela F.
Carnero, Mercedes
Bermúdez, Carlos
Sánchez, Mabel
author Hernández, José Luis
author_facet Hernández, José Luis
Salto, Carolina
Minetti, Gabriela F.
Carnero, Mercedes
Bermúdez, Carlos
Sánchez, Mabel
author_role author
author2 Salto, Carolina
Minetti, Gabriela F.
Carnero, Mercedes
Bermúdez, Carlos
Sánchez, Mabel
author2_role author
author
author
author
author
dc.subject.none.fl_str_mv Ciencias Informáticas
Sensor network
Combinatorial optimization
Metaheuristics
topic Ciencias Informáticas
Sensor network
Combinatorial optimization
Metaheuristics
dc.description.none.fl_txt_mv This work presents an analysis on the behavior of a particular metaheuristic technique inspired by Simulated Annealing, SA, for the resolution of a problem of sensor network design in process plants, SNDP. This design problem is formulated as a combinatorial optimization problem and includes the selection and determination of the number of process variables that must be measured to achieve the specific state of knowledge about the plant. Different parametric configurations for the proposed heuristic are analyzed and discussed, as well as their performance in plants of increasing size and complexity.
XX Workshop Agentes y Sistemas Inteligentes.
Red de Universidades con Carreras en Informática
description This work presents an analysis on the behavior of a particular metaheuristic technique inspired by Simulated Annealing, SA, for the resolution of a problem of sensor network design in process plants, SNDP. This design problem is formulated as a combinatorial optimization problem and includes the selection and determination of the number of process variables that must be measured to achieve the specific state of knowledge about the plant. Different parametric configurations for the proposed heuristic are analyzed and discussed, as well as their performance in plants of increasing size and complexity.
publishDate 2019
dc.date.none.fl_str_mv 2019-10
dc.type.none.fl_str_mv info:eu-repo/semantics/conferenceObject
info:eu-repo/semantics/publishedVersion
Objeto de conferencia
http://purl.org/coar/resource_type/c_5794
info:ar-repo/semantics/documentoDeConferencia
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status_str publishedVersion
dc.identifier.none.fl_str_mv http://sedici.unlp.edu.ar/handle/10915/90898
url http://sedici.unlp.edu.ar/handle/10915/90898
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/isbn/978-987-688-377-1
info:eu-repo/semantics/reference/hdl/10915/90359
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
dc.format.none.fl_str_mv application/pdf
95-104
dc.source.none.fl_str_mv reponame:SEDICI (UNLP)
instname:Universidad Nacional de La Plata
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repository.name.fl_str_mv SEDICI (UNLP) - Universidad Nacional de La Plata
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