Tuning metaheuristics : a machine learning perspective
The importance of tuning metaheuristics is widely acknowledged in scientific literature. However, there is very little dedicated research on the subject. Typically, scientists and practitioners tune metaheuristics by hand, guided only by their experience and by some rules of thumb. Tuning metaheuris...
Gardado en:
| Autor Principal: | |
|---|---|
| Outros autores: | |
| Formato: | Livre numérique |
| Idioma: | Anglais |
| Publicado: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| Edición: | 1st ed. 2009. |
| Series: | Studies in Computational Intelligence
197 |
| Acceso en liña: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Nota: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Tuning Metaheuristics, Texte imprimé, 9783642004827 • Tuning Metaheuristics, Texte imprimé, 9783642101496 • Tuning Metaheuristics, Texte imprimé, 9783642005459 • Tuning Metaheuristics, Texte imprimé, 9783642004827 |
Table des matières:
- Background and State-of-the-Art Statement of the Tuning Problem F-Race for Tuning Metaheuristics Experiments and Applications Some Considerations on the Experimental Methodology Conclusions