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dc.contributor.author
Aragon, Victoria Soledad
dc.contributor.author
Esquivel, Susana Cecilia
dc.date.available
2022-05-26T17:53:05Z
dc.date.issued
2005-12
dc.identifier.citation
Aragon, Victoria Soledad; Esquivel, Susana Cecilia; Evolutionary algorithms with clustering for dynamic fitness landscapes; Universidad Nacional de La Plata. Facultad de Informática; Journal of Computer Science & Technology; 5; 4; 12-2005; 196-203
dc.identifier.issn
1666-6046
dc.identifier.uri
http://hdl.handle.net/11336/158250
dc.description.abstract
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 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.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Universidad Nacional de La Plata. Facultad de Informática
dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc/2.5/ar/
dc.subject
DYNAMIC MULTIMODAL FUNCTIONS
dc.subject
EVOLUTIONARY ALGORITHMS
dc.subject
CLUSTERING ALGORITHMS
dc.subject
MACROMUTATION
dc.subject.classification
Otras Ciencias de la Computación e Información
dc.subject.classification
Ciencias de la Computación e Información
dc.subject.classification
CIENCIAS NATURALES Y EXACTAS
dc.title
Evolutionary algorithms with clustering for dynamic fitness landscapes
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2022-05-20T15:05:26Z
dc.identifier.eissn
1666-6038
dc.journal.volume
5
dc.journal.number
4
dc.journal.pagination
196-203
dc.journal.pais
Argentina
dc.journal.ciudad
La Plata
dc.description.fil
Fil: Aragon, Victoria Soledad. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Luis; Argentina. Universidad Nacional de San Luis. Facultad de Ciencias Físico Matemáticas y Naturales. Departamento de Informática. Laboratorio Investigación y Desarrollo en Inteligencia Computacional; Argentina
dc.description.fil
Fil: Esquivel, Susana Cecilia. Universidad Nacional de San Luis. Facultad de Ciencias Físico Matemáticas y Naturales. Departamento de Informática. Laboratorio Investigación y Desarrollo en Inteligencia Computacional; Argentina
dc.journal.title
Journal of Computer Science & Technology
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://journal.info.unlp.edu.ar/JCST/article/view/836
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