Initial Sensor Network Design with a Multi-Objective Genetic Algorithm

A Multi-Objective Genetic Algorithm (MOGA) application, which is based on the aggregating approach, is proposed in this article. Its aim is to find a consistent instrument configuration for industrial process plants that will constitute a convenient initial set of input data for structural Observabi...

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Autores principales: Carballido, Jessica Andrea, Ponzoni, Ignacio, Brignole, Nélida B.
Formato: Articulo
Lenguaje:Inglés
Publicado: 2004
Materias:
Ciencias Informáticas
Multi-Objective Optimization
Genetic algorithms
Sensor Network Design
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/135315
https://publicaciones.sadio.org.ar/index.php/EJS/article/view/106
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-135315
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
Multi-Objective Optimization
Genetic algorithms
Sensor Network Design
spellingShingle Ciencias Informáticas
Multi-Objective Optimization
Genetic algorithms
Sensor Network Design
Carballido, Jessica Andrea
Ponzoni, Ignacio
Brignole, Nélida B.
Initial Sensor Network Design with a Multi-Objective Genetic Algorithm
topic_facet Ciencias Informáticas
Multi-Objective Optimization
Genetic algorithms
Sensor Network Design
description A Multi-Objective Genetic Algorithm (MOGA) application, which is based on the aggregating approach, is proposed in this article. Its aim is to find a consistent instrument configuration for industrial process plants that will constitute a convenient initial set of input data for structural Observability Analysis Algorithms (OAs). The better this configuration is, the faster the OAs will converge to a satisfactory solution. Algorithmic effectiveness was evaluated through the analysis of small academic case studies. The results obtained through our algorithm show excellent performance. Therefore, it can be stated that the prototype presented in this work is good enough to serve as a sound basis for the development of the definitive MOGA module, whose implementation will support large-size industrial plant models.
format Articulo
Articulo
author Carballido, Jessica Andrea
Ponzoni, Ignacio
Brignole, Nélida B.
author_facet Carballido, Jessica Andrea
Ponzoni, Ignacio
Brignole, Nélida B.
author_sort Carballido, Jessica Andrea
title Initial Sensor Network Design with a Multi-Objective Genetic Algorithm
title_short Initial Sensor Network Design with a Multi-Objective Genetic Algorithm
title_full Initial Sensor Network Design with a Multi-Objective Genetic Algorithm
title_fullStr Initial Sensor Network Design with a Multi-Objective Genetic Algorithm
title_full_unstemmed Initial Sensor Network Design with a Multi-Objective Genetic Algorithm
title_sort initial sensor network design with a multi-objective genetic algorithm
publishDate 2004
url http://sedici.unlp.edu.ar/handle/10915/135315
https://publicaciones.sadio.org.ar/index.php/EJS/article/view/106
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AT ponzoniignacio initialsensornetworkdesignwithamultiobjectivegeneticalgorithm
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bdutipo_str Repositorios
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