| Título: | An Improved Genetic Algorithm and Its Application |
| Autores: |
Yan, Xuesong; China University of Geosciences Wu, Qinghua; Wuhan Institute of Technology Zhang, Can; China University of Geosciences Li, Wei; China University of Geosciences Chen, Wei; China University of Geosciences Luo, Wenjing; China University of Geosciences |
| Fecha: | 2012-09-01 |
| Publicador: | TELKOMNIKA: Indonesian journal of electrical engineering |
| Fuente: |
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| Tipo: |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
| Tema: | No aplica |
| Descripción: | Traditional genetic algorithm trapped into the local minimum easily. Therefore, based on a simple genetic algorithm and combine the base ideology of orthogonal design method then applied it to the population initialization, using the intergenerational elite mechanism, as well as the introduction of adaptive local search operator to prevent trapped into the local minimum and improve the convergence speed to form a new genetic algorithm. Through the series of numerical experiments, the new algorithm has been proved to be efficiency |
| Idioma: | Inglés |