Evolution by adapting surrogates
To deal with complex optimization problems plagued with computationally expensive fitness functions, the use of surrogates to replace the original functions within the evolutionary framework is becoming a common practice. However, the appropriate datacentric approximation methodology to use for the...
| Autores principales: | , , , , |
|---|---|
| Otros Autores: | |
| Formato: | Journal Article |
| Lenguaje: | English |
| Publicado: |
2014
|
| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10356/98489 http://hdl.handle.net/10220/18584 |