Evolutionary algorithms with clustering for dynamic fitness landscapes

dc.creatorAragon, Victoria Soledad
dc.creatorEsquivel, Susana Cecilia
dc.date.accessioned2022-05-26T17:53:05Z
dc.date.accessioned2022-10-14T22:00:55Z
dc.date.available2022-05-26T17:53:05Z
dc.date.available2022-10-14T22:00:55Z
dc.date.created2022-05-26T17:53:05Z
dc.date.issued2005-12
dc.identifierAragon, 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.identifier1666-6046
dc.identifierhttp://hdl.handle.net/11336/158250
dc.identifier1666-6038
dc.identifierCONICET Digital
dc.identifierCONICET
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/4311566
dc.description.abstractInterest 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.languageeng
dc.publisherUniversidad Nacional de La Plata. Facultad de Informática
dc.relationinfo:eu-repo/semantics/altIdentifier/url/https://journal.info.unlp.edu.ar/JCST/article/view/836
dc.rightshttps://creativecommons.org/licenses/by-nc/2.5/ar/
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectDYNAMIC MULTIMODAL FUNCTIONS
dc.subjectEVOLUTIONARY ALGORITHMS
dc.subjectCLUSTERING ALGORITHMS
dc.subjectMACROMUTATION
dc.titleEvolutionary algorithms with clustering for dynamic fitness landscapes
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:ar-repo/semantics/artículo
dc.typeinfo:eu-repo/semantics/publishedVersion


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