Hybridizing an immune artificial algorithm with simulated annealing for solving constrained optimization problems

Autores
Aragón, Victoria S.; Esquivel, Susana Cecilia; Coello Coello, Carlos
Año de publicación
2011
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
In this paper, we present a modified version of an algorithm inspired on the T-Cell model, it is an artificial immune system (AIS), based on the process that suffers the T-Cell. The proposed model (TCSA) is increased with simulated annealing, for solving constrained (numerical) optimization problems. We validate our proposed approach with a set of test functions taken from the specialized literature. We indirectly compare our results with respect to GENOCOP III, a well known software based on genetic algorithm
Presentado en el XII Workshop Agentes y Sistemas Inteligentes (WASI)
Red de Universidades con Carreras en Informática (RedUNCI)
Materia
Ciencias Informáticas
Algorithms
Simulated annealing
Constrained optimization
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/18623
Acceder
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oai_identifier_str oai:sedici.unlp.edu.ar:10915/18623
network_acronym_str SEDICI
repository_id_str 1329
network_name_str SEDICI (UNLP)
spelling Hybridizing an immune artificial algorithm with simulated annealing for solving constrained optimization problemsAragón, Victoria S.Esquivel, Susana CeciliaCoello Coello, CarlosCiencias InformáticasAlgorithmsSimulated annealingConstrained optimizationIn this paper, we present a modified version of an algorithm inspired on the T-Cell model, it is an artificial immune system (AIS), based on the process that suffers the T-Cell. The proposed model (TCSA) is increased with simulated annealing, for solving constrained (numerical) optimization problems. We validate our proposed approach with a set of test functions taken from the specialized literature. We indirectly compare our results with respect to GENOCOP III, a well known software based on genetic algorithmPresentado en el XII Workshop Agentes y Sistemas Inteligentes (WASI)Red de Universidades con Carreras en Informática (RedUNCI)2011-10info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdf121-130http://sedici.unlp.edu.ar/handle/10915/18623enginfo:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/2.5/ar/Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-09-03T10:26:25Zoai:sedici.unlp.edu.ar:10915/18623Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-03 10:26:25.64SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv Hybridizing an immune artificial algorithm with simulated annealing for solving constrained optimization problems
title Hybridizing an immune artificial algorithm with simulated annealing for solving constrained optimization problems
spellingShingle Hybridizing an immune artificial algorithm with simulated annealing for solving constrained optimization problems
Aragón, Victoria S.
Ciencias Informáticas
Algorithms
Simulated annealing
Constrained optimization
title_short Hybridizing an immune artificial algorithm with simulated annealing for solving constrained optimization problems
title_full Hybridizing an immune artificial algorithm with simulated annealing for solving constrained optimization problems
title_fullStr Hybridizing an immune artificial algorithm with simulated annealing for solving constrained optimization problems
title_full_unstemmed Hybridizing an immune artificial algorithm with simulated annealing for solving constrained optimization problems
title_sort Hybridizing an immune artificial algorithm with simulated annealing for solving constrained optimization problems
dc.creator.none.fl_str_mv Aragón, Victoria S.
Esquivel, Susana Cecilia
Coello Coello, Carlos
author Aragón, Victoria S.
author_facet Aragón, Victoria S.
Esquivel, Susana Cecilia
Coello Coello, Carlos
author_role author
author2 Esquivel, Susana Cecilia
Coello Coello, Carlos
author2_role author
author
dc.subject.none.fl_str_mv Ciencias Informáticas
Algorithms
Simulated annealing
Constrained optimization
topic Ciencias Informáticas
Algorithms
Simulated annealing
Constrained optimization
dc.description.none.fl_txt_mv In this paper, we present a modified version of an algorithm inspired on the T-Cell model, it is an artificial immune system (AIS), based on the process that suffers the T-Cell. The proposed model (TCSA) is increased with simulated annealing, for solving constrained (numerical) optimization problems. We validate our proposed approach with a set of test functions taken from the specialized literature. We indirectly compare our results with respect to GENOCOP III, a well known software based on genetic algorithm
Presentado en el XII Workshop Agentes y Sistemas Inteligentes (WASI)
Red de Universidades con Carreras en Informática (RedUNCI)
description In this paper, we present a modified version of an algorithm inspired on the T-Cell model, it is an artificial immune system (AIS), based on the process that suffers the T-Cell. The proposed model (TCSA) is increased with simulated annealing, for solving constrained (numerical) optimization problems. We validate our proposed approach with a set of test functions taken from the specialized literature. We indirectly compare our results with respect to GENOCOP III, a well known software based on genetic algorithm
publishDate 2011
dc.date.none.fl_str_mv 2011-10
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/10915/18623
url http://sedici.unlp.edu.ar/handle/10915/18623
dc.language.none.fl_str_mv eng
language eng
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)
dc.format.none.fl_str_mv application/pdf
121-130
dc.source.none.fl_str_mv reponame:SEDICI (UNLP)
instname:Universidad Nacional de La Plata
instacron:UNLP
reponame_str SEDICI (UNLP)
collection SEDICI (UNLP)
instname_str Universidad Nacional de La Plata
instacron_str UNLP
institution UNLP
repository.name.fl_str_mv SEDICI (UNLP) - Universidad Nacional de La Plata
repository.mail.fl_str_mv alira@sedici.unlp.edu.ar
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score 13.13397

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