Multi-objective optimization to the problem of distributing plant using genetic algorithms: preliminary issues for a proposed solution

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The article reviews the state of the art and theoretical concepts needed to develop a proposed solution to the Facility Layout Problem FLP. Article concepts such as meta heuristics, evolutionary computation, evolutionary programming, genetic algorithms, aimed to propose an alternative solution to th...

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Detalles Bibliográficos
Autor: Ruiz Lizama, Edgar Cruz
Formato: artículo
Fecha de Publicación:2014
Institución:Universidad Nacional Mayor de San Marcos
Repositorio:Revista UNMSM - Industrial Data
Lenguaje:español
OAI Identifier:oai:ojs.csi.unmsm:article/12057
Enlace del recurso:https://revistasinvestigacion.unmsm.edu.pe/index.php/idata/article/view/12057
Nivel de acceso:acceso abierto
Materia:Facility Layout Problem
meta heuristics
optimization
genetic algorithms
Problema de Distribución de planta
meta heurísticas
optimización
algoritmos genéticos
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spelling Multi-objective optimization to the problem of distributing plant using genetic algorithms: preliminary issues for a proposed solutionOptimización multi-objetivo al problema de distribución de planta usando algoritmos genéticos: cuestiones previas para una propuesta de soluciónRuiz Lizama, Edgar CruzFacility Layout Problemmeta heuristicsoptimizationgenetic algorithmsProblema de Distribución de plantameta heurísticasoptimizaciónalgoritmos genéticosThe article reviews the state of the art and theoretical concepts needed to develop a proposed solution to the Facility Layout Problem FLP. Article concepts such as meta heuristics, evolutionary computation, evolutionary programming, genetic algorithms, aimed to propose an alternative solution to the difficult problem of plant distribution are examined.El artículo es una revisión del estado del arte y de los conceptos teóricos necesarios para elaborar una propuesta de solución al Facility Layout Problem FLP. En el artículo se examinan conceptos tales como meta heurísticas, computación evolutiva, programación evolutiva, algoritmos genéticos, tendientes a plantear una alternativa de solución al difícil problema de la distribución en planta.Facultad de Ingeniería Industrial, Universidad Nacional Mayor de San Marcos2014-12-20info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://revistasinvestigacion.unmsm.edu.pe/index.php/idata/article/view/1205710.15381/idata.v17i2.12057Industrial Data; Vol. 17 Núm. 2 (2014); 120-137Industrial Data; Vol 17 No 2 (2014); 120-1371810-99931560-9146reponame:Revista UNMSM - Industrial Datainstname:Universidad Nacional Mayor de San Marcosinstacron:UNMSMspahttps://revistasinvestigacion.unmsm.edu.pe/index.php/idata/article/view/12057/10772Derechos de autor 2014 Edgar Cruz Ruiz Lizamahttp://creativecommons.org/licenses/by-nc-sa/4.0info:eu-repo/semantics/openAccess2021-06-01T17:26:37Zmail@mail.com -
dc.title.none.fl_str_mv Multi-objective optimization to the problem of distributing plant using genetic algorithms: preliminary issues for a proposed solution
Optimización multi-objetivo al problema de distribución de planta usando algoritmos genéticos: cuestiones previas para una propuesta de solución
title Multi-objective optimization to the problem of distributing plant using genetic algorithms: preliminary issues for a proposed solution
spellingShingle Multi-objective optimization to the problem of distributing plant using genetic algorithms: preliminary issues for a proposed solution
Ruiz Lizama, Edgar Cruz
Facility Layout Problem
meta heuristics
optimization
genetic algorithms
Problema de Distribución de planta
meta heurísticas
optimización
algoritmos genéticos
title_short Multi-objective optimization to the problem of distributing plant using genetic algorithms: preliminary issues for a proposed solution
title_full Multi-objective optimization to the problem of distributing plant using genetic algorithms: preliminary issues for a proposed solution
title_fullStr Multi-objective optimization to the problem of distributing plant using genetic algorithms: preliminary issues for a proposed solution
title_full_unstemmed Multi-objective optimization to the problem of distributing plant using genetic algorithms: preliminary issues for a proposed solution
title_sort Multi-objective optimization to the problem of distributing plant using genetic algorithms: preliminary issues for a proposed solution
dc.creator.none.fl_str_mv Ruiz Lizama, Edgar Cruz
author Ruiz Lizama, Edgar Cruz
author_facet Ruiz Lizama, Edgar Cruz
author_role author
dc.subject.none.fl_str_mv Facility Layout Problem
meta heuristics
optimization
genetic algorithms
Problema de Distribución de planta
meta heurísticas
optimización
algoritmos genéticos
topic Facility Layout Problem
meta heuristics
optimization
genetic algorithms
Problema de Distribución de planta
meta heurísticas
optimización
algoritmos genéticos
dc.description.none.fl_txt_mv The article reviews the state of the art and theoretical concepts needed to develop a proposed solution to the Facility Layout Problem FLP. Article concepts such as meta heuristics, evolutionary computation, evolutionary programming, genetic algorithms, aimed to propose an alternative solution to the difficult problem of plant distribution are examined.
El artículo es una revisión del estado del arte y de los conceptos teóricos necesarios para elaborar una propuesta de solución al Facility Layout Problem FLP. En el artículo se examinan conceptos tales como meta heurísticas, computación evolutiva, programación evolutiva, algoritmos genéticos, tendientes a plantear una alternativa de solución al difícil problema de la distribución en planta.
description The article reviews the state of the art and theoretical concepts needed to develop a proposed solution to the Facility Layout Problem FLP. Article concepts such as meta heuristics, evolutionary computation, evolutionary programming, genetic algorithms, aimed to propose an alternative solution to the difficult problem of plant distribution are examined.
publishDate 2014
dc.date.none.fl_str_mv 2014-12-20
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://revistasinvestigacion.unmsm.edu.pe/index.php/idata/article/view/12057
10.15381/idata.v17i2.12057
url https://revistasinvestigacion.unmsm.edu.pe/index.php/idata/article/view/12057
identifier_str_mv 10.15381/idata.v17i2.12057
dc.language.none.fl_str_mv spa
language spa
dc.relation.none.fl_str_mv https://revistasinvestigacion.unmsm.edu.pe/index.php/idata/article/view/12057/10772
dc.rights.none.fl_str_mv Derechos de autor 2014 Edgar Cruz Ruiz Lizama
http://creativecommons.org/licenses/by-nc-sa/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Derechos de autor 2014 Edgar Cruz Ruiz Lizama
http://creativecommons.org/licenses/by-nc-sa/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Facultad de Ingeniería Industrial, Universidad Nacional Mayor de San Marcos
publisher.none.fl_str_mv Facultad de Ingeniería Industrial, Universidad Nacional Mayor de San Marcos
dc.source.none.fl_str_mv Industrial Data; Vol. 17 Núm. 2 (2014); 120-137
Industrial Data; Vol 17 No 2 (2014); 120-137
1810-9993
1560-9146
reponame:Revista UNMSM - Industrial Data
instname:Universidad Nacional Mayor de San Marcos
instacron:UNMSM
reponame_str Revista UNMSM - Industrial Data
collection Revista UNMSM - Industrial Data
instname_str Universidad Nacional Mayor de San Marcos
instacron_str UNMSM
institution UNMSM
repository.name.fl_str_mv -
repository.mail.fl_str_mv mail@mail.com
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score 13.888049
Multi-objective optimization to the problem of distributing plant using genetic algorithms: preliminary issues for a proposed solution
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