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| Format: | Artículo científico |
| Sprache: | en |
| Veröffentlicht: |
Universidad Nacional de La Plata
2005
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| Online-Zugang: | https://www.redalyc.org/articulo.oa?id=638067343016 |
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Inhaltsangabe:
- Evolutionary algorithms with clustering for dynamic fitness landscapes Victoria S. Aragón Susana Cecilia Esquivel Computación Macromutation Macromutation Macromutation Macromutation Macromutation 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. 2005 artículo científico 1666-6046 https://www.redalyc.org/articulo.oa?id=638067343016 en http://www.redalyc.org/revista.oa?id=6380 Journal of Computer Science and Technology application/pdf Universidad Nacional de La Plata Journal of Computer Science and Technology (Argentina) Num.04 Vol.5