Improving evolutionary algorithms performance by extending incest prevention
Provision of population diversity is one of the main goals to avoid premature convergence in Evolutionary Algorithms (EAs). In this way the risk of being trapped in local optima is minimised. Eshelman and Shaffer [4] attempted to maintain population diversity by using diverse strategies focusing on...
Guardado en:
| Autores principales: | Alfonso, Hugo, Cesan, P., Fernandez, Natalia, Minetti, Gabriela F., Salto, Carolina, Velazco, L., Gallard, Raúl Hector |
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| Formato: | Objeto de conferencia |
| Lenguaje: | Inglés |
| Publicado: |
1998
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| Materias: | |
| Acceso en línea: | http://sedici.unlp.edu.ar/handle/10915/24823 |
| Aporte de: |
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