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
- Institución
- Universidad Nacional de La Plata
- OAI Identificador
- oai:sedici.unlp.edu.ar:10915/90898
Ver los metadatos del registro completo
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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:UNLP2025-09-29T11:19:03Zoai: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:13292025-09-29 11:19:03.331SEDICI (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 |
format |
conferenceObject |
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) |
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openAccess |
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http://creativecommons.org/licenses/by-nc-sa/4.0/ Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) |
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application/pdf 95-104 |
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