Current applications of ant systems for subset problems

Autores
Leguizamón, Guillermo
Año de publicación
2000
Idioma
español castellano
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
Early applications of Ant Colony Optimization (ACO) have been mainly concerned with solving ordering problems (e.g., the Traveling Salesman Problem). In this report we describe an Ant System algorithm, which would be appropriate for solving additional subset problems as was showed for solving the multiple knapsack problem in previous works. The experiments on progress show the potential power of the ACO approach for solving different subset problems.
Eje: Sistemas inteligentes. Metaheurísticas.
Red de Universidades con Carreras en Informática (RedUNCI)
Materia
Ciencias Informáticas
Ant Colony (AC)
ordering problems
Ant Colony Optimization (ACO)
ARTIFICIAL INTELLIGENCE
Heuristic methods
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:10915/22110
Acceder
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oai_identifier_str oai:sedici.unlp.edu.ar:10915/22110
network_acronym_str SEDICI
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network_name_str SEDICI (UNLP)
spelling Current applications of ant systems for subset problemsLeguizamón, GuillermoCiencias InformáticasAnt Colony (AC)ordering problemsAnt Colony Optimization (ACO)ARTIFICIAL INTELLIGENCEHeuristic methodsEarly applications of Ant Colony Optimization (ACO) have been mainly concerned with solving ordering problems (e.g., the Traveling Salesman Problem). In this report we describe an Ant System algorithm, which would be appropriate for solving additional subset problems as was showed for solving the multiple knapsack problem in previous works. The experiments on progress show the potential power of the ACO approach for solving different subset problems.Eje: Sistemas inteligentes. Metaheurísticas.Red de Universidades con Carreras en Informática (RedUNCI)2000-05info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdf62-64http://sedici.unlp.edu.ar/handle/10915/22110spainfo: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:UNLP2025-10-15T10:47:33Zoai:sedici.unlp.edu.ar:10915/22110Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-10-15 10:47:33.484SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv Current applications of ant systems for subset problems
title Current applications of ant systems for subset problems
spellingShingle Current applications of ant systems for subset problems
Leguizamón, Guillermo
Ciencias Informáticas
Ant Colony (AC)
ordering problems
Ant Colony Optimization (ACO)
ARTIFICIAL INTELLIGENCE
Heuristic methods
title_short Current applications of ant systems for subset problems
title_full Current applications of ant systems for subset problems
title_fullStr Current applications of ant systems for subset problems
title_full_unstemmed Current applications of ant systems for subset problems
title_sort Current applications of ant systems for subset problems
dc.creator.none.fl_str_mv Leguizamón, Guillermo
author Leguizamón, Guillermo
author_facet Leguizamón, Guillermo
author_role author
dc.subject.none.fl_str_mv Ciencias Informáticas
Ant Colony (AC)
ordering problems
Ant Colony Optimization (ACO)
ARTIFICIAL INTELLIGENCE
Heuristic methods
topic Ciencias Informáticas
Ant Colony (AC)
ordering problems
Ant Colony Optimization (ACO)
ARTIFICIAL INTELLIGENCE
Heuristic methods
dc.description.none.fl_txt_mv Early applications of Ant Colony Optimization (ACO) have been mainly concerned with solving ordering problems (e.g., the Traveling Salesman Problem). In this report we describe an Ant System algorithm, which would be appropriate for solving additional subset problems as was showed for solving the multiple knapsack problem in previous works. The experiments on progress show the potential power of the ACO approach for solving different subset problems.
Eje: Sistemas inteligentes. Metaheurísticas.
Red de Universidades con Carreras en Informática (RedUNCI)
description Early applications of Ant Colony Optimization (ACO) have been mainly concerned with solving ordering problems (e.g., the Traveling Salesman Problem). In this report we describe an Ant System algorithm, which would be appropriate for solving additional subset problems as was showed for solving the multiple knapsack problem in previous works. The experiments on progress show the potential power of the ACO approach for solving different subset problems.
publishDate 2000
dc.date.none.fl_str_mv 2000-05
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/10915/22110
url http://sedici.unlp.edu.ar/handle/10915/22110
dc.language.none.fl_str_mv spa
language spa
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
62-64
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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 13.22299

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