Evolutionaty algorithms with clustering for dynamic fitness landscapes

Interest of dynamic multimodal functions risen over the last year 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 algorithm...

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Autores principales: Esquivel, Susana Cecilia, Aragón, Victoria S.
Formato: Objeto de conferencia
Lenguaje:Inglés
Publicado: 2005
Materias:
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/22904
Aporte de:
id I19-R120-10915-22904
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
Clustering
dynamic multimodal functions
macromutation
spellingShingle Ciencias Informáticas
Algorithms
Clustering
dynamic multimodal functions
macromutation
Esquivel, Susana Cecilia
Aragón, Victoria S.
Evolutionaty algorithms with clustering for dynamic fitness landscapes
topic_facet Ciencias Informáticas
Algorithms
Clustering
dynamic multimodal functions
macromutation
description Interest of dynamic multimodal functions risen over the last year 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 mantain 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 and analyzed
format Objeto de conferencia
Objeto de conferencia
author Esquivel, Susana Cecilia
Aragón, Victoria S.
author_facet Esquivel, Susana Cecilia
Aragón, Victoria S.
author_sort Esquivel, Susana Cecilia
title Evolutionaty algorithms with clustering for dynamic fitness landscapes
title_short Evolutionaty algorithms with clustering for dynamic fitness landscapes
title_full Evolutionaty algorithms with clustering for dynamic fitness landscapes
title_fullStr Evolutionaty algorithms with clustering for dynamic fitness landscapes
title_full_unstemmed Evolutionaty algorithms with clustering for dynamic fitness landscapes
title_sort evolutionaty algorithms with clustering for dynamic fitness landscapes
publishDate 2005
url http://sedici.unlp.edu.ar/handle/10915/22904
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