A T-cell algorithm for solving dynamic economic power dispatch problems

Autores
Aragón, Victoria S.; Coello Coello, Carlos; Leguizamón, Mario Guillermo
Año de publicación
2020
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
This paper presents the artificial immune system IA DED (Immune Algorithm Dynamic Economic Dispatch) to solve the Dynamic Economic Dispatch (DED) problem and the Dynamic Economic Emission Dispatch (DEED) problem. Our approach considers these as dynamic problems whose constraints change over time. IA DED is inspired on the activation process that T cells suffer in order to find partial solutions. The proposed approach is validated using several DED problems taken from specialized literature and one DEED problem. The latter is addressed by transforming a multi-objective problem into a single-objective problem by using a linear aggregating function that combines the (weighted) values of the objectives into a single scalar value. 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. Part of this work was presented at the XXV Argentine Congress of Computer Science (CACIC), 2019.
Facultad de Informática
Materia
Ciencias Informáticas
Artificial immune systems
Dynamic economic dispatch problem
Dynamic economic emission dispatch problem
Metaheuristics
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc/4.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/97190

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network_name_str SEDICI (UNLP)
spelling A T-cell algorithm for solving dynamic economic power dispatch problemsUn algoritmo basado en células T para resolver problemas de despacho de energía económico y dinámicoAragón, Victoria S.Coello Coello, CarlosLeguizamón, Mario GuillermoCiencias InformáticasArtificial immune systemsDynamic economic dispatch problemDynamic economic emission dispatch problemMetaheuristicsThis paper presents the artificial immune system IA DED (Immune Algorithm Dynamic Economic Dispatch) to solve the Dynamic Economic Dispatch (DED) problem and the Dynamic Economic Emission Dispatch (DEED) problem. Our approach considers these as dynamic problems whose constraints change over time. IA DED is inspired on the activation process that T cells suffer in order to find partial solutions. The proposed approach is validated using several DED problems taken from specialized literature and one DEED problem. The latter is addressed by transforming a multi-objective problem into a single-objective problem by using a linear aggregating function that combines the (weighted) values of the objectives into a single scalar value. 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. Part of this work was presented at the XXV Argentine Congress of Computer Science (CACIC), 2019.Facultad de Informática2020-05info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionArticulohttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttp://sedici.unlp.edu.ar/handle/10915/97190enginfo:eu-repo/semantics/altIdentifier/issn/1666-6038info:eu-repo/semantics/altIdentifier/doi/10.24215/16666038.20.e01info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc/4.0/Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-09-29T11:20:55Zoai:sedici.unlp.edu.ar:10915/97190Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-29 11:20:55.522SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv A T-cell algorithm for solving dynamic economic power dispatch problems
Un algoritmo basado en células T para resolver problemas de despacho de energía económico y dinámico
title A T-cell algorithm for solving dynamic economic power dispatch problems
spellingShingle A T-cell algorithm for solving dynamic economic power dispatch problems
Aragón, Victoria S.
Ciencias Informáticas
Artificial immune systems
Dynamic economic dispatch problem
Dynamic economic emission dispatch problem
Metaheuristics
title_short A T-cell algorithm for solving dynamic economic power dispatch problems
title_full A T-cell algorithm for solving dynamic economic power dispatch problems
title_fullStr A T-cell algorithm for solving dynamic economic power dispatch problems
title_full_unstemmed A T-cell algorithm for solving dynamic economic power dispatch problems
title_sort A T-cell algorithm 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
Dynamic economic emission dispatch problem
Metaheuristics
topic Ciencias Informáticas
Artificial immune systems
Dynamic economic dispatch problem
Dynamic economic emission dispatch problem
Metaheuristics
dc.description.none.fl_txt_mv This paper presents the artificial immune system IA DED (Immune Algorithm Dynamic Economic Dispatch) to solve the Dynamic Economic Dispatch (DED) problem and the Dynamic Economic Emission Dispatch (DEED) problem. Our approach considers these as dynamic problems whose constraints change over time. IA DED is inspired on the activation process that T cells suffer in order to find partial solutions. The proposed approach is validated using several DED problems taken from specialized literature and one DEED problem. The latter is addressed by transforming a multi-objective problem into a single-objective problem by using a linear aggregating function that combines the (weighted) values of the objectives into a single scalar value. 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. Part of this work was presented at the XXV Argentine Congress of Computer Science (CACIC), 2019.
Facultad de Informática
description This paper presents the artificial immune system IA DED (Immune Algorithm Dynamic Economic Dispatch) to solve the Dynamic Economic Dispatch (DED) problem and the Dynamic Economic Emission Dispatch (DEED) problem. Our approach considers these as dynamic problems whose constraints change over time. IA DED is inspired on the activation process that T cells suffer in order to find partial solutions. The proposed approach is validated using several DED problems taken from specialized literature and one DEED problem. The latter is addressed by transforming a multi-objective problem into a single-objective problem by using a linear aggregating function that combines the (weighted) values of the objectives into a single scalar value. 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. Part of this work was presented at the XXV Argentine Congress of Computer Science (CACIC), 2019.
publishDate 2020
dc.date.none.fl_str_mv 2020-05
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info:eu-repo/semantics/publishedVersion
Articulo
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info:ar-repo/semantics/articulo
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dc.identifier.none.fl_str_mv http://sedici.unlp.edu.ar/handle/10915/97190
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dc.language.none.fl_str_mv eng
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dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/issn/1666-6038
info:eu-repo/semantics/altIdentifier/doi/10.24215/16666038.20.e01
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc/4.0/
Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc/4.0/
Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)
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