Parallel genetic algorithms : theory and real world applications
This book is the result of several years of research trying to better characterize parallel genetic algorithms (pGAs) as a powerful tool for optimization, search, and learning. Readers can learn how to solve complex tasks by reducing their high computational times. Dealing with two scientific fields...
Enregistré dans:
| Auteurs principaux: | , |
|---|---|
| Format: | Livre numérique |
| Langue: | Anglais |
| Publié: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| Édition: | 1st ed. 2011. |
| Collection: | Studies in Computational Intelligence
367 |
| Accès en ligne: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Note: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Parallel Genetic Algorithms, Texte imprimé, 9783642220838 • Parallel Genetic Algorithms, Texte imprimé, 9783642268687 • Parallel Genetic Algorithms, Texte imprimé, 9783642220852 |
Table des matières:
- Part I Introduction Part II Characterization of Parallel Genetic Algorithms Part III Applications of Parallel Genetic Algorithms