Biologically-inspired optimisation methods : parallel algorithms, systems and applications
Humanity has often turned to Nature for inspiration to help it solve its problems. The systems She provides are often based on simple rules and premises, yet are able to adapt to new and complex environments quickly and efficiently. Problems from a range of human endeavours, including, science, engi...
Guardat en:
| Altres autors: | Kacprzyk, Janusz, 1947- (Director editorial), Randall, Marcus (Director editorial), Mostaghim, Sanaz, 19..- (Director editorial), Lewis, Andrew (Director editorial) |
|---|---|
| Format: | Livre numérique |
| Idioma: | Anglais |
| Publicat: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| Edició: | 1st ed. 2009. |
| Col·lecció: | Studies in Computational Intelligence
210 |
| Accés en línia: | 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: | • Biologically-Inspired Optimisation Methods, Texte imprimé, 9783642012617 • Biologically-Inspired Optimisation Methods, Texte imprimé, 9783642012631 • Biologically-Inspired Optimisation Methods, Texte imprimé, 9783642101779 • Biologically-Inspired Optimisation Methods, Texte imprimé, 9783642012617 |
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