Tuning a hybrid SA based algorithm applied to Optimal Sensor Network Design

Sensor network design problem (SNDP) in process plants includes the determination of which process variables should be measured to achieve a required degree of knowledge about the plant. We propose to solve the SNDP problem in plants of increasing size and complexity using a hybrid algorithm based o...

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Detalles Bibliográficos
Autores principales: Hernández, José Luis, Salto, Carolina, Minetti, Gabriela F., Carnero, Mercedes, Bermúdez, Carlos, Sánchez, Mabel
Formato: Articulo
Lenguaje:Inglés
Publicado: 2020
Materias:
Ciencias Informáticas
Cooling Schedule
Optimization
Sensor networks
Simulated annealing
Esquemas de enfriamiento
Optimizacn
Recocido Simulado
Redes de Sensores
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/97201
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-97201
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Ciencias Informáticas
Cooling Schedule
Optimization
Sensor networks
Simulated annealing
Esquemas de enfriamiento
Optimizacn
Recocido Simulado
Redes de Sensores
spellingShingle Ciencias Informáticas
Cooling Schedule
Optimization
Sensor networks
Simulated annealing
Esquemas de enfriamiento
Optimizacn
Recocido Simulado
Redes de Sensores
Hernández, José Luis
Salto, Carolina
Minetti, Gabriela F.
Carnero, Mercedes
Bermúdez, Carlos
Sánchez, Mabel
Tuning a hybrid SA based algorithm applied to Optimal Sensor Network Design
topic_facet Ciencias Informáticas
Cooling Schedule
Optimization
Sensor networks
Simulated annealing
Esquemas de enfriamiento
Optimizacn
Recocido Simulado
Redes de Sensores
description Sensor network design problem (SNDP) in process plants includes the determination of which process variables should be measured to achieve a required degree of knowledge about the plant. We propose to solve the SNDP problem in plants of increasing size and complexity using a hybrid algorithm based on Simulated Annealing (HSA) as main metaheuristic and Tabu Search embedded with Strategic Oscillation (SOTS) as a subordinate metaheuristic. We studied the tuning of control parameters in order to improve the HSA performance. Experimental results indicate that a high-quality solution in reasonable computational times can be found by HSA effectively. Moreover, HSA shows good features solving SNDP compared with proposals from the literature.
format Articulo
Articulo
author Hernández, José Luis
Salto, Carolina
Minetti, Gabriela F.
Carnero, Mercedes
Bermúdez, Carlos
Sánchez, Mabel
author_facet Hernández, José Luis
Salto, Carolina
Minetti, Gabriela F.
Carnero, Mercedes
Bermúdez, Carlos
Sánchez, Mabel
author_sort Hernández, José Luis
title Tuning a hybrid SA based algorithm applied to Optimal Sensor Network Design
title_short Tuning a hybrid SA based algorithm applied to Optimal Sensor Network Design
title_full Tuning a hybrid SA based algorithm applied to Optimal Sensor Network Design
title_fullStr Tuning a hybrid SA based algorithm applied to Optimal Sensor Network Design
title_full_unstemmed Tuning a hybrid SA based algorithm applied to Optimal Sensor Network Design
title_sort tuning a hybrid sa based algorithm applied to optimal sensor network design
publishDate 2020
url http://sedici.unlp.edu.ar/handle/10915/97201
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