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

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...

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Detalles Bibliográficos
Autores principales:	Aragón, Victoria S., Coello Coello, Carlos, Leguizamón, Mario Guillermo
Formato:	Articulo
Lenguaje:	Inglés
Publicado:	2020
Materias:	Ciencias Informáticas Artificial immune systems Dynamic economic dispatch problem Dynamic economic emission dispatch problem Metaheuristics
Acceso en línea:	http://sedici.unlp.edu.ar/handle/10915/97190
Aporte de:	SEDICI (UNLP) de Universidad Nacional de La Plata

id	I19-R120-10915-97190
record_format	dspace
institution	Universidad Nacional de La Plata
institution_str	I-19
repository_str	R-120
collection	SEDICI (UNLP)
language	Inglés
topic	Ciencias Informáticas Artificial immune systems Dynamic economic dispatch problem Dynamic economic emission dispatch problem Metaheuristics
spellingShingle	Ciencias Informáticas Artificial immune systems Dynamic economic dispatch problem Dynamic economic emission dispatch problem Metaheuristics Aragón, Victoria S. Coello Coello, Carlos Leguizamón, Mario Guillermo A T-cell algorithm for solving dynamic economic power dispatch problems
topic_facet	Ciencias Informáticas Artificial immune systems Dynamic economic dispatch problem Dynamic economic emission dispatch problem Metaheuristics
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.
format	Articulo Articulo
author	Aragón, Victoria S. Coello Coello, Carlos Leguizamón, Mario Guillermo
author_facet	Aragón, Victoria S. Coello Coello, Carlos Leguizamón, Mario Guillermo
author_sort	Aragón, Victoria S.
title	A T-cell algorithm for solving dynamic economic power dispatch problems
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	t-cell algorithm for solving dynamic economic power dispatch problems
publishDate	2020
url	http://sedici.unlp.edu.ar/handle/10915/97190
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bdutipo_str	Repositorios
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A T-cell algorithm for solving dynamic economic power dispatch problems

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