Evolutionary algorithms with clustering for dynamic fitness landscapes

Interest on dynamic multimodal functions risen over the last years since many real problems have this feature. On these problems, the goal is no longer to find the global optimal, but to track their progression through the space as closely as possible. This paper presents three evolutionary algorith...

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Detalles Bibliográficos
Autores principales:	Aragón, Victoria S., Esquivel, Susana Cecilia
Formato:	Articulo
Lenguaje:	Inglés
Publicado:	2005
Materias:	Ciencias Informáticas Algorithms Information Systems
Acceso en línea:	http://sedici.unlp.edu.ar/handle/10915/9593 http://journal.info.unlp.edu.ar/wp-content/uploads/JCST-Dec05-6.pdf
Aporte de:	SEDICI (UNLP) de Universidad Nacional de La Plata

id	I19-R120-10915-9593
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 Algorithms Information Systems
spellingShingle	Ciencias Informáticas Algorithms Information Systems Aragón, Victoria S. Esquivel, Susana Cecilia Evolutionary algorithms with clustering for dynamic fitness landscapes
topic_facet	Ciencias Informáticas Algorithms Information Systems
description	Interest on dynamic multimodal functions risen over the last years since many real problems have this feature. On these problems, the goal is no longer to find the global optimal, but to track their progression through the space as closely as possible. This paper presents three evolutionary algorithms for dynamic fitness landscapes. In order to maintain diversity in the population they use two clustering techniques and a macromutation operator. Besides, this paper compares two crossover operators: arithmetic and multiparents two points, respectively. Effectiveness and limitations of each algorithm are discuss anda analyzed.
format	Articulo Articulo
author	Aragón, Victoria S. Esquivel, Susana Cecilia
author_facet	Aragón, Victoria S. Esquivel, Susana Cecilia
author_sort	Aragón, Victoria S.
title	Evolutionary algorithms with clustering for dynamic fitness landscapes
title_short	Evolutionary algorithms with clustering for dynamic fitness landscapes
title_full	Evolutionary algorithms with clustering for dynamic fitness landscapes
title_fullStr	Evolutionary algorithms with clustering for dynamic fitness landscapes
title_full_unstemmed	Evolutionary algorithms with clustering for dynamic fitness landscapes
title_sort	evolutionary algorithms with clustering for dynamic fitness landscapes
publishDate	2005
url	http://sedici.unlp.edu.ar/handle/10915/9593 http://journal.info.unlp.edu.ar/wp-content/uploads/JCST-Dec05-6.pdf
work_keys_str_mv	AT aragonvictorias evolutionaryalgorithmswithclusteringfordynamicfitnesslandscapes AT esquivelsusanacecilia evolutionaryalgorithmswithclusteringfordynamicfitnesslandscapes
bdutipo_str	Repositorios
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Evolutionary algorithms with clustering for dynamic fitness landscapes

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