Artificial immune system for solving constrained optimization problems

Autores
Aragon, Victoria Soledad; Esquivel, Susana Cecilia; Coello Coello, Carlos
Año de publicación
2007
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
In this paper, we present an artificial immune system (AIS) based on the CLONALG algorithm for solving constrained (numerical) optimization problems. We develop a new mutation operator which produces large and small step sizes and which aims to provide better exploration capabilities. We validate our proposed approach with 13 test functions taken from the specialized literature and we compare our results with respect to Stochastic Ranking (which is an approach representative of the state-of-the-art in the area) and with respect to an AIS previously proposed by one of the co-authors.
Fil: Aragon, Victoria Soledad. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Luis; Argentina. Universidad Nacional de San Luis. Facultad de Ciencias Físico Matemáticas y Naturales. Departamento de Informática. Laboratorio Investigación y Desarrollo en Inteligencia Computacional; Argentina
Fil: Esquivel, Susana Cecilia. 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. Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional; México
Materia
ARTIFICIAL IMMUNE SYSTEMS
CONSTRAINED OPTIMIZATION PROBLEMS
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/158688

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spelling Artificial immune system for solving constrained optimization problemsAragon, Victoria SoledadEsquivel, Susana CeciliaCoello Coello, CarlosARTIFICIAL IMMUNE SYSTEMSCONSTRAINED OPTIMIZATION PROBLEMShttps://purl.org/becyt/ford/1.2https://purl.org/becyt/ford/1In this paper, we present an artificial immune system (AIS) based on the CLONALG algorithm for solving constrained (numerical) optimization problems. We develop a new mutation operator which produces large and small step sizes and which aims to provide better exploration capabilities. We validate our proposed approach with 13 test functions taken from the specialized literature and we compare our results with respect to Stochastic Ranking (which is an approach representative of the state-of-the-art in the area) and with respect to an AIS previously proposed by one of the co-authors.Fil: Aragon, Victoria Soledad. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Luis; Argentina. Universidad Nacional de San Luis. Facultad de Ciencias Físico Matemáticas y Naturales. Departamento de Informática. Laboratorio Investigación y Desarrollo en Inteligencia Computacional; ArgentinaFil: Esquivel, Susana Cecilia. 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. Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional; MéxicoSociedad Iberoamericana de Inteligencia Artificial2007-10info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/158688Aragon, Victoria Soledad; Esquivel, Susana Cecilia; Coello Coello, Carlos; Artificial immune system for solving constrained optimization problems; Sociedad Iberoamericana de Inteligencia Artificial; Inteligencia Artificial; 11; 35; 10-2007; 55-661137-36011988-3064CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/http://journal.iberamia.org/public/Vol.1-14.html#2007info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:34:20Zoai:ri.conicet.gov.ar:11336/158688instacron: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:34982025-09-29 10:34:20.977CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Artificial immune system for solving constrained optimization problems
title Artificial immune system for solving constrained optimization problems
spellingShingle Artificial immune system for solving constrained optimization problems
Aragon, Victoria Soledad
ARTIFICIAL IMMUNE SYSTEMS
CONSTRAINED OPTIMIZATION PROBLEMS
title_short Artificial immune system for solving constrained optimization problems
title_full Artificial immune system for solving constrained optimization problems
title_fullStr Artificial immune system for solving constrained optimization problems
title_full_unstemmed Artificial immune system for solving constrained optimization problems
title_sort Artificial immune system for solving constrained optimization problems
dc.creator.none.fl_str_mv Aragon, Victoria Soledad
Esquivel, Susana Cecilia
Coello Coello, Carlos
author Aragon, Victoria Soledad
author_facet Aragon, Victoria Soledad
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 ARTIFICIAL IMMUNE SYSTEMS
CONSTRAINED OPTIMIZATION PROBLEMS
topic ARTIFICIAL IMMUNE SYSTEMS
CONSTRAINED 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 an artificial immune system (AIS) based on the CLONALG algorithm for solving constrained (numerical) optimization problems. We develop a new mutation operator which produces large and small step sizes and which aims to provide better exploration capabilities. We validate our proposed approach with 13 test functions taken from the specialized literature and we compare our results with respect to Stochastic Ranking (which is an approach representative of the state-of-the-art in the area) and with respect to an AIS previously proposed by one of the co-authors.
Fil: Aragon, Victoria Soledad. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Luis; Argentina. Universidad Nacional de San Luis. Facultad de Ciencias Físico Matemáticas y Naturales. Departamento de Informática. Laboratorio Investigación y Desarrollo en Inteligencia Computacional; Argentina
Fil: Esquivel, Susana Cecilia. 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. Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional; México
description In this paper, we present an artificial immune system (AIS) based on the CLONALG algorithm for solving constrained (numerical) optimization problems. We develop a new mutation operator which produces large and small step sizes and which aims to provide better exploration capabilities. We validate our proposed approach with 13 test functions taken from the specialized literature and we compare our results with respect to Stochastic Ranking (which is an approach representative of the state-of-the-art in the area) and with respect to an AIS previously proposed by one of the co-authors.
publishDate 2007
dc.date.none.fl_str_mv 2007-10
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/11336/158688
Aragon, Victoria Soledad; Esquivel, Susana Cecilia; Coello Coello, Carlos; Artificial immune system for solving constrained optimization problems; Sociedad Iberoamericana de Inteligencia Artificial; Inteligencia Artificial; 11; 35; 10-2007; 55-66
1137-3601
1988-3064
CONICET Digital
CONICET
url http://hdl.handle.net/11336/158688
identifier_str_mv Aragon, Victoria Soledad; Esquivel, Susana Cecilia; Coello Coello, Carlos; Artificial immune system for solving constrained optimization problems; Sociedad Iberoamericana de Inteligencia Artificial; Inteligencia Artificial; 11; 35; 10-2007; 55-66
1137-3601
1988-3064
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://journal.iberamia.org/public/Vol.1-14.html#2007
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Sociedad Iberoamericana de Inteligencia Artificial
publisher.none.fl_str_mv Sociedad Iberoamericana de 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
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