| Título: | Surname Inherited Algorithm Research Based on Artificial Immune System |
| Autores: |
Xie, Jing; University of South China Hu, Yaobin; University of South China Zhu, Huiling; University of South China Wang, Yulin; University of South China |
| Fecha: | 2013-06-01 |
| Publicador: | TELKOMNIKA: Indonesian journal of electrical engineering |
| Fuente: |
 |
| Tipo: |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
| Tema: | No aplica |
| Descripción: | To keep the diversity of antibodies in artificial immune system evolution process, this paper puts forward a kind of increase simulation surname inheritance algorithm based on the clonal selection algorithm, and identification and forecast the Vibration Data about CA6140 horizontal lathe machining slender shaft workpiece prone . The results show that the algorithm has the characteristics of flexible application, strong adaptability, an effective approach to improve efficiency of the algorithm, a good performance of global searching and broad application prospect. |
| Idioma: | Inglés |