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Evolutionary algorithms with clustering for dynamic fitness landscapes

Aragon, Victoria Soledad et al · Universidad Nacional de La Plata. Facultad de Informática · 2005

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Author / responsible party
Aragon, Victoria Soledad et al
Publisher
Universidad Nacional de La Plata. Facultad de Informática
Year
2005
ISSN
1666-6046
ISSN
1666-6046
Language
English

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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. 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 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

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APA 7

Aragon, V. S. E. A. (2005). Evolutionary algorithms with clustering for dynamic fitness landscapes. http://hdl.handle.net/11336/158250

MLA

Aragon, Victoria Soledad et al. "Evolutionary algorithms with clustering for dynamic fitness landscapes." 2005. http://hdl.handle.net/11336/158250.

Chicago

Aragon, Victoria Soledad et al. 2005. "Evolutionary algorithms with clustering for dynamic fitness landscapes.". http://hdl.handle.net/11336/158250.

Harvard

Aragon, V. S. E. A. 2005, Evolutionary algorithms with clustering for dynamic fitness landscapes, Universidad Nacional de La Plata. Facultad de Informática, available at: http://hdl.handle.net/11336/158250 [Accessed 7 Aug. 2026].

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Title
Evolutionary algorithms with clustering for dynamic fitness landscapes
Author / contributors
Aragon, Victoria Soledad et al
Publisher
Universidad Nacional de La Plata. Facultad de Informática
Publication year
2005
ISSN
1666-6046
ISSN
1666-6046
Language
English

Subjects

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DYNAMIC MULTIMODAL FUNCTIONS; EVOLUTIONARY ALGORITHMS; CLUSTERING ALGORITHMS; MACROMUTATION; https://purl.org/becyt/ford/1.2; https://purl.org/becyt/ford/1
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