Artificial Immune System for Solving Global Optimization Problems

Autores
Aragon, Victoria Soledad; Esquivel, Susana C.; Coello Coello, Carlos A.
Año de publicación
2010
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
In this paper, we present a novel model of an artificial immune system (AIS), based on the process that suffers the T-Cell. The proposed model is used for global optimization problems. The model operates on four populations: Virgins, Effectors (CD4 and CD8) and Memory. Each of them has a different role, representation and procedures. We validate our proposed approach with a set of test functions taken from the specialized literature, we also compare our results with the results obtained by different bio-inspired approaches and we statistically analyze the results gotten by our approach.
Fil: Aragon, Victoria Soledad. Universidad Nacional de San Luis. Facultad de Ciencias Físico Matemáticas y Naturales. Departamento de Informática. Laboratorio Investigación y Desarrollo En Inteligencia Computacional; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico San Luis; Argentina
Fil: Esquivel, Susana C.. Universidad Nacional de San Luis. Facultad de Ciencias Físico Matemáticas y Naturales. Departamento de Informática. Laboratorio Investigación y Desarrollo en Inteligencia Computacional; Argentina
Fil: Coello Coello, Carlos A.. CINVESTAV-IPN; México
Materia
ARTIFICIAL IMMUNE SYSTEMS
GLOBAL OPTIMIZATION PROBLEMS
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/13976
Acceder
id CONICETDig_65ebfa9f5eb607fc87204d39878a0879
oai_identifier_str oai:ri.conicet.gov.ar:11336/13976
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Artificial Immune System for Solving Global Optimization ProblemsAragon, Victoria SoledadEsquivel, Susana C.Coello Coello, Carlos A.ARTIFICIAL IMMUNE SYSTEMSGLOBAL OPTIMIZATION PROBLEMShttps://purl.org/becyt/ford/1.2https://purl.org/becyt/ford/1In this paper, we present a novel model of an artificial immune system (AIS), based on the process that suffers the T-Cell. The proposed model is used for global optimization problems. The model operates on four populations: Virgins, Effectors (CD4 and CD8) and Memory. Each of them has a different role, representation and procedures. We validate our proposed approach with a set of test functions taken from the specialized literature, we also compare our results with the results obtained by different bio-inspired approaches and we statistically analyze the results gotten by our approach.Fil: Aragon, Victoria Soledad. Universidad Nacional de San Luis. Facultad de Ciencias Físico Matemáticas y Naturales. Departamento de Informática. Laboratorio Investigación y Desarrollo En Inteligencia Computacional; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico San Luis; ArgentinaFil: Esquivel, Susana C.. Universidad Nacional de San Luis. Facultad de Ciencias Físico Matemáticas y Naturales. Departamento de Informática. Laboratorio Investigación y Desarrollo en Inteligencia Computacional; ArgentinaFil: Coello Coello, Carlos A.. CINVESTAV-IPN; MéxicoAsociación Española para la Inteligencia Artificial2010-02info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/13976Aragon, Victoria Soledad; Esquivel, Susana C.; Coello Coello, Carlos A.; Artificial Immune System for Solving Global Optimization Problems; Asociación Española para la Inteligencia Artificial; Inteligencia Artificial. Ibero-american Journal Of Artificial Intelligence; 14; 46; 2-2010; 3-161137-36011988-3064enginfo:eu-repo/semantics/altIdentifier/url/http://www.redalyc.org/articulo.oa?id=92513108001info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-29T12:00:31Zoai:ri.conicet.gov.ar:11336/13976instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-10-29 12:00:31.654CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Artificial Immune System for Solving Global Optimization Problems
title Artificial Immune System for Solving Global Optimization Problems
spellingShingle Artificial Immune System for Solving Global Optimization Problems
Aragon, Victoria Soledad
ARTIFICIAL IMMUNE SYSTEMS
GLOBAL OPTIMIZATION PROBLEMS
title_short Artificial Immune System for Solving Global Optimization Problems
title_full Artificial Immune System for Solving Global Optimization Problems
title_fullStr Artificial Immune System for Solving Global Optimization Problems
title_full_unstemmed Artificial Immune System for Solving Global Optimization Problems
title_sort Artificial Immune System for Solving Global Optimization Problems
dc.creator.none.fl_str_mv Aragon, Victoria Soledad
Esquivel, Susana C.
Coello Coello, Carlos A.
author Aragon, Victoria Soledad
author_facet Aragon, Victoria Soledad
Esquivel, Susana C.
Coello Coello, Carlos A.
author_role author
author2 Esquivel, Susana C.
Coello Coello, Carlos A.
author2_role author
author
dc.subject.none.fl_str_mv ARTIFICIAL IMMUNE SYSTEMS
GLOBAL OPTIMIZATION PROBLEMS
topic ARTIFICIAL IMMUNE SYSTEMS
GLOBAL OPTIMIZATION PROBLEMS
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.2
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv In this paper, we present a novel model of an artificial immune system (AIS), based on the process that suffers the T-Cell. The proposed model is used for global optimization problems. The model operates on four populations: Virgins, Effectors (CD4 and CD8) and Memory. Each of them has a different role, representation and procedures. We validate our proposed approach with a set of test functions taken from the specialized literature, we also compare our results with the results obtained by different bio-inspired approaches and we statistically analyze the results gotten by our approach.
Fil: Aragon, Victoria Soledad. Universidad Nacional de San Luis. Facultad de Ciencias Físico Matemáticas y Naturales. Departamento de Informática. Laboratorio Investigación y Desarrollo En Inteligencia Computacional; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico San Luis; Argentina
Fil: Esquivel, Susana C.. Universidad Nacional de San Luis. Facultad de Ciencias Físico Matemáticas y Naturales. Departamento de Informática. Laboratorio Investigación y Desarrollo en Inteligencia Computacional; Argentina
Fil: Coello Coello, Carlos A.. CINVESTAV-IPN; México
description In this paper, we present a novel model of an artificial immune system (AIS), based on the process that suffers the T-Cell. The proposed model is used for global optimization problems. The model operates on four populations: Virgins, Effectors (CD4 and CD8) and Memory. Each of them has a different role, representation and procedures. We validate our proposed approach with a set of test functions taken from the specialized literature, we also compare our results with the results obtained by different bio-inspired approaches and we statistically analyze the results gotten by our approach.
publishDate 2010
dc.date.none.fl_str_mv 2010-02
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/13976
Aragon, Victoria Soledad; Esquivel, Susana C.; Coello Coello, Carlos A.; Artificial Immune System for Solving Global Optimization Problems; Asociación Española para la Inteligencia Artificial; Inteligencia Artificial. Ibero-american Journal Of Artificial Intelligence; 14; 46; 2-2010; 3-16
1137-3601
1988-3064
url http://hdl.handle.net/11336/13976
identifier_str_mv Aragon, Victoria Soledad; Esquivel, Susana C.; Coello Coello, Carlos A.; Artificial Immune System for Solving Global Optimization Problems; Asociación Española para la Inteligencia Artificial; Inteligencia Artificial. Ibero-american Journal Of Artificial Intelligence; 14; 46; 2-2010; 3-16
1137-3601
1988-3064
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://www.redalyc.org/articulo.oa?id=92513108001
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Asociación Española para la Inteligencia Artificial
publisher.none.fl_str_mv Asociación Española para la Inteligencia Artificial
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
_version_ 1847426753970044928
score 13.10058

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