Learning automata and stochastic optimization
In the last decade there has been a steadily growing need for and interest in computational methods for solving stochastic optimization problems with or wihout constraints. Optimization techniques have been gaining greater acceptance in many industrial applications, and learning systems have made a...
Uloženo v:
| Hlavní autoři: | , |
|---|---|
| Médium: | Livre numérique |
| Jazyk: | Anglais |
| Vydáno: |
Berlin [etc.] :
Springer-Verlag London Limited : Springer e-books
[20..].
Cham : Springer Nature |
| Edice: | Lecture notes in control and information sciences
225 |
| Témata: | |
| On-line přístup: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Poznámka: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Learning automata and stochastic optimization, A.S. Poznyak and K. Najim, 1997, Berlin, Springer, 1 vol. (XII-204 p.), Lecture notes in control and information sciences, 3-540-76154-3 • Learning Automata and Stochastic Optimization, Texte imprimé, 9783662174876 |
Obsah:
- Stochastic optimization
- On learning automata
- Unconstrained optimization problems
- Constrained optimization problems
- Optimization of nonstationary functions.