Finding fuzzy identification system parameters using a new dynamic migration period-based distributed genetic algorithm

This paper presents a distributed genetic algorithm with dynamic determination of the migration period. The algorithm is especially well suited for the on line estimation of a fuzzy identification system parameters, using heterogeneous clusters. The results of the optimization of a TSK (Takagi-Sugen...

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Autores:
Castro, Marco Antonio
Herrera Fernández, Francisco
Tipo de recurso:
Article of journal
Fecha de publicación:
2009
Institución:
Universidad Nacional de Colombia
Repositorio:
Universidad Nacional de Colombia
Idioma:
spa
OAI Identifier:
oai:repositorio.unal.edu.co:unal/26373
Acceso en línea:
https://repositorio.unal.edu.co/handle/unal/26373
http://bdigital.unal.edu.co/17420/
Palabra clave:
on-line identification
Takagi-Sugeno-Kang fuzzy model
distributed genetic algorithm
cluster.
Rights
openAccess
License
Atribución-NoComercial 4.0 Internacional
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spelling Atribución-NoComercial 4.0 InternacionalDerechos reservados - Universidad Nacional de Colombiahttp://creativecommons.org/licenses/by-nc/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Castro, Marco Antonioe23b4d81-3748-466b-879d-7795772c6703300Herrera Fernández, Francisco5f53ea38-4120-41fb-a057-109875e049323002019-06-25T23:36:38Z2019-06-25T23:36:38Z2009https://repositorio.unal.edu.co/handle/unal/26373http://bdigital.unal.edu.co/17420/This paper presents a distributed genetic algorithm with dynamic determination of the migration period. The algorithm is especially well suited for the on line estimation of a fuzzy identification system parameters, using heterogeneous clusters. The results of the optimization of a TSK (Takagi-Sugeno-Kang) system for the identification of a biotechnological (fermentative) process including the solution’s quality and speedup analysis are presented. Comparative results using static and dynamic migration periods on the genetic algorithm are also presented.text/htmlspaUniversidad Nacional de Colombia Sede Medellínhttp://revistas.unal.edu.co/index.php/dyna/article/view/13043Universidad Nacional de Colombia Revistas electrónicas UN DynaDynaDyna; Vol. 76, núm. 159 (2009); 77-83 DYNA; Vol. 76, núm. 159 (2009); 77-83 2346-2183 0012-7353Castro, Marco Antonio and Herrera Fernández, Francisco (2009) Finding fuzzy identification system parameters using a new dynamic migration period-based distributed genetic algorithm. Dyna; Vol. 76, núm. 159 (2009); 77-83 DYNA; Vol. 76, núm. 159 (2009); 77-83 2346-2183 0012-7353 .Finding fuzzy identification system parameters using a new dynamic migration period-based distributed genetic algorithmArtículo de revistainfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1http://purl.org/coar/version/c_970fb48d4fbd8a85Texthttp://purl.org/redcol/resource_type/ARTon-line identificationTakagi-Sugeno-Kang fuzzy modeldistributed genetic algorithmcluster.ORIGINAL13043-35733-1-PB.htmtext/html31119https://repositorio.unal.edu.co/bitstream/unal/26373/1/13043-35733-1-PB.htm44c224f58c067855b4fe3b6255413428MD5113043-35761-1-PB.pdfapplication/pdf424419https://repositorio.unal.edu.co/bitstream/unal/26373/2/13043-35761-1-PB.pdf75ae20221d40f3f9717682bb79d83b60MD52THUMBNAIL13043-35761-1-PB.pdf.jpg13043-35761-1-PB.pdf.jpgGenerated Thumbnailimage/jpeg9123https://repositorio.unal.edu.co/bitstream/unal/26373/3/13043-35761-1-PB.pdf.jpg0e440465fc41d66bf8027c391be4a032MD53unal/26373oai:repositorio.unal.edu.co:unal/263732023-10-27 23:15:25.487Repositorio Institucional Universidad Nacional de Colombiarepositorio_nal@unal.edu.co
dc.title.spa.fl_str_mv Finding fuzzy identification system parameters using a new dynamic migration period-based distributed genetic algorithm
title Finding fuzzy identification system parameters using a new dynamic migration period-based distributed genetic algorithm
spellingShingle Finding fuzzy identification system parameters using a new dynamic migration period-based distributed genetic algorithm
on-line identification
Takagi-Sugeno-Kang fuzzy model
distributed genetic algorithm
cluster.
title_short Finding fuzzy identification system parameters using a new dynamic migration period-based distributed genetic algorithm
title_full Finding fuzzy identification system parameters using a new dynamic migration period-based distributed genetic algorithm
title_fullStr Finding fuzzy identification system parameters using a new dynamic migration period-based distributed genetic algorithm
title_full_unstemmed Finding fuzzy identification system parameters using a new dynamic migration period-based distributed genetic algorithm
title_sort Finding fuzzy identification system parameters using a new dynamic migration period-based distributed genetic algorithm
dc.creator.fl_str_mv Castro, Marco Antonio
Herrera Fernández, Francisco
dc.contributor.author.spa.fl_str_mv Castro, Marco Antonio
Herrera Fernández, Francisco
dc.subject.proposal.spa.fl_str_mv on-line identification
Takagi-Sugeno-Kang fuzzy model
distributed genetic algorithm
cluster.
topic on-line identification
Takagi-Sugeno-Kang fuzzy model
distributed genetic algorithm
cluster.
description This paper presents a distributed genetic algorithm with dynamic determination of the migration period. The algorithm is especially well suited for the on line estimation of a fuzzy identification system parameters, using heterogeneous clusters. The results of the optimization of a TSK (Takagi-Sugeno-Kang) system for the identification of a biotechnological (fermentative) process including the solution’s quality and speedup analysis are presented. Comparative results using static and dynamic migration periods on the genetic algorithm are also presented.
publishDate 2009
dc.date.issued.spa.fl_str_mv 2009
dc.date.accessioned.spa.fl_str_mv 2019-06-25T23:36:38Z
dc.date.available.spa.fl_str_mv 2019-06-25T23:36:38Z
dc.type.spa.fl_str_mv Artículo de revista
dc.type.coar.fl_str_mv http://purl.org/coar/resource_type/c_2df8fbb1
dc.type.driver.spa.fl_str_mv info:eu-repo/semantics/article
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dc.type.coarversion.spa.fl_str_mv http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.content.spa.fl_str_mv Text
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format http://purl.org/coar/resource_type/c_6501
status_str publishedVersion
dc.identifier.uri.none.fl_str_mv https://repositorio.unal.edu.co/handle/unal/26373
dc.identifier.eprints.spa.fl_str_mv http://bdigital.unal.edu.co/17420/
url https://repositorio.unal.edu.co/handle/unal/26373
http://bdigital.unal.edu.co/17420/
dc.language.iso.spa.fl_str_mv spa
language spa
dc.relation.spa.fl_str_mv http://revistas.unal.edu.co/index.php/dyna/article/view/13043
dc.relation.ispartof.spa.fl_str_mv Universidad Nacional de Colombia Revistas electrónicas UN Dyna
Dyna
dc.relation.ispartofseries.none.fl_str_mv Dyna; Vol. 76, núm. 159 (2009); 77-83 DYNA; Vol. 76, núm. 159 (2009); 77-83 2346-2183 0012-7353
dc.relation.references.spa.fl_str_mv Castro, Marco Antonio and Herrera Fernández, Francisco (2009) Finding fuzzy identification system parameters using a new dynamic migration period-based distributed genetic algorithm. Dyna; Vol. 76, núm. 159 (2009); 77-83 DYNA; Vol. 76, núm. 159 (2009); 77-83 2346-2183 0012-7353 .
dc.rights.spa.fl_str_mv Derechos reservados - Universidad Nacional de Colombia
dc.rights.coar.fl_str_mv http://purl.org/coar/access_right/c_abf2
dc.rights.license.spa.fl_str_mv Atribución-NoComercial 4.0 Internacional
dc.rights.uri.spa.fl_str_mv http://creativecommons.org/licenses/by-nc/4.0/
dc.rights.accessrights.spa.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv Atribución-NoComercial 4.0 Internacional
Derechos reservados - Universidad Nacional de Colombia
http://creativecommons.org/licenses/by-nc/4.0/
http://purl.org/coar/access_right/c_abf2
eu_rights_str_mv openAccess
dc.format.mimetype.spa.fl_str_mv text/html
dc.publisher.spa.fl_str_mv Universidad Nacional de Colombia Sede Medellín
institution Universidad Nacional de Colombia
bitstream.url.fl_str_mv https://repositorio.unal.edu.co/bitstream/unal/26373/1/13043-35733-1-PB.htm
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