An Artificial Immune System for Solving Dynamic Economic Power Dispatch Problems

Autores
Aragón, Victoria S.; Coello Coello, Carlos; Leguizamón, Mario Guillermo
Año de publicación
2019
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
In this paper, we propose an artificial immune system called IA DED, which stands for Immune Algorithm Dynamic Economic Dispatch. It is designed for solving the Dynamic Economic Dispatch (DED) problem. Our approach considers the DED problem as a dynamic problem whose constraints change over time. IA DED considers the activation process that T cells suffer in order to find partial solutions. The proposed approach is validated using several DED problems taken from the specialized literature. Our results are compared with respect to those obtained by other approaches taken from the specialized literature. We also provide some statistical analysis in order to determine the sensitivity of the performance of our proposed approach to its parameters.
XX Workshop Agentes y Sistemas Inteligentes.
Red de Universidades con Carreras en Informática
Materia
Ciencias Informáticas
Artificial immune systems
Dynamic economic dispatch problem
Metaheuristics
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/4.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/90891

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spelling An Artificial Immune System for Solving Dynamic Economic Power Dispatch ProblemsAragón, Victoria S.Coello Coello, CarlosLeguizamón, Mario GuillermoCiencias InformáticasArtificial immune systemsDynamic economic dispatch problemMetaheuristicsIn this paper, we propose an artificial immune system called IA DED, which stands for Immune Algorithm Dynamic Economic Dispatch. It is designed for solving the Dynamic Economic Dispatch (DED) problem. Our approach considers the DED problem as a dynamic problem whose constraints change over time. IA DED considers the activation process that T cells suffer in order to find partial solutions. The proposed approach is validated using several DED problems taken from the specialized literature. Our results are compared with respect to those obtained by other approaches taken from the specialized literature. We also provide some statistical analysis in order to determine the sensitivity of the performance of our proposed approach to its parameters.XX Workshop Agentes y Sistemas Inteligentes.Red de Universidades con Carreras en Informática2019-10info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdf22-31http://sedici.unlp.edu.ar/handle/10915/90891enginfo:eu-repo/semantics/altIdentifier/isbn/978-987-688-377-1info:eu-repo/semantics/reference/hdl/10915/90359info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-09-29T11:19:03Zoai:sedici.unlp.edu.ar:10915/90891Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-29 11:19:03.312SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv An Artificial Immune System for Solving Dynamic Economic Power Dispatch Problems
title An Artificial Immune System for Solving Dynamic Economic Power Dispatch Problems
spellingShingle An Artificial Immune System for Solving Dynamic Economic Power Dispatch Problems
Aragón, Victoria S.
Ciencias Informáticas
Artificial immune systems
Dynamic economic dispatch problem
Metaheuristics
title_short An Artificial Immune System for Solving Dynamic Economic Power Dispatch Problems
title_full An Artificial Immune System for Solving Dynamic Economic Power Dispatch Problems
title_fullStr An Artificial Immune System for Solving Dynamic Economic Power Dispatch Problems
title_full_unstemmed An Artificial Immune System for Solving Dynamic Economic Power Dispatch Problems
title_sort An Artificial Immune System for Solving Dynamic Economic Power Dispatch Problems
dc.creator.none.fl_str_mv Aragón, Victoria S.
Coello Coello, Carlos
Leguizamón, Mario Guillermo
author Aragón, Victoria S.
author_facet Aragón, Victoria S.
Coello Coello, Carlos
Leguizamón, Mario Guillermo
author_role author
author2 Coello Coello, Carlos
Leguizamón, Mario Guillermo
author2_role author
author
dc.subject.none.fl_str_mv Ciencias Informáticas
Artificial immune systems
Dynamic economic dispatch problem
Metaheuristics
topic Ciencias Informáticas
Artificial immune systems
Dynamic economic dispatch problem
Metaheuristics
dc.description.none.fl_txt_mv In this paper, we propose an artificial immune system called IA DED, which stands for Immune Algorithm Dynamic Economic Dispatch. It is designed for solving the Dynamic Economic Dispatch (DED) problem. Our approach considers the DED problem as a dynamic problem whose constraints change over time. IA DED considers the activation process that T cells suffer in order to find partial solutions. The proposed approach is validated using several DED problems taken from the specialized literature. Our results are compared with respect to those obtained by other approaches taken from the specialized literature. We also provide some statistical analysis in order to determine the sensitivity of the performance of our proposed approach to its parameters.
XX Workshop Agentes y Sistemas Inteligentes.
Red de Universidades con Carreras en Informática
description In this paper, we propose an artificial immune system called IA DED, which stands for Immune Algorithm Dynamic Economic Dispatch. It is designed for solving the Dynamic Economic Dispatch (DED) problem. Our approach considers the DED problem as a dynamic problem whose constraints change over time. IA DED considers the activation process that T cells suffer in order to find partial solutions. The proposed approach is validated using several DED problems taken from the specialized literature. Our results are compared with respect to those obtained by other approaches taken from the specialized literature. We also provide some statistical analysis in order to determine the sensitivity of the performance of our proposed approach to its parameters.
publishDate 2019
dc.date.none.fl_str_mv 2019-10
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info:eu-repo/semantics/publishedVersion
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http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
eu_rights_str_mv openAccess
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