Stochastic Global Optimization
This book presents the main methodological and theoretical developments in stochastic global optimization. The extensive text is divided into four chapters; the topics include the basic principles and methods of global random search, statistical inference in random search, Markovian and population-b...
Gardado en:
| Autor Principal: | |
|---|---|
| Formato: | Livre numérique |
| Idioma: | Anglais |
| Publicado: |
New York, NY :
Springer US
[20..].
Cham : Springer Nature |
| Edición: | 1st ed. 2008. |
| Series: | Springer Optimization and Its Applications
9 |
| Sujets: | |
| Acceso en liña: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Nota: |
l'impression du document génère 268 p. Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Stochastic global optimization, Anatoly Zhigljavsky,... Antanasz Zilinskas,..., 1st edition, New York, Springer, 2007, 1 vol. (IX-262 p.), Springer optimization and its applications, 978-0-387-74022-5 • Stochastic global optimization, Anatoly, Zhigljavsky, [S.l.], Springer, 2007, 1 vol. (IX-262 p.), Springer Optimization and Its Applications, 978-1-4419-4485-6 • Stochastic Global Optimization, Texte imprimé, 9780387520506 • Stochastic global optimization, Anatoly Zhigljavsky,... Antanasz Zilinskas,..., 1st edition, New York, Springer, 2007, 1 vol. (IX-262 p.), Springer optimization and its applications, 978-0-387-74022-5 • Stochastic global optimization, Anatoly, Zhigljavsky, [S.l.], Springer, 2007, 1 vol. (IX-262 p.), Springer Optimization and Its Applications, 978-1-4419-4485-6 • Stochastic Global Optimization, Texte imprimé, 9780387520506 • Stochastic global optimization, Anatoly Zhigljavsky,... Antanasz Zilinskas,..., 1st edition, New York, Springer, 2007, 1 vol. (IX-262 p.), Springer optimization and its applications, 978-0-387-74022-5 |
| Résumé: | This book presents the main methodological and theoretical developments in stochastic global optimization. The extensive text is divided into four chapters; the topics include the basic principles and methods of global random search, statistical inference in random search, Markovian and population-based random search methods, methods based on statistical models of multimodal functions and principles of rational decisions theory. Key features: * Inspires readers to explore various stochastic methods of global optimization by clearly explaining the main methodological principles and features of the methods; * Includes a comprehensive study of probabilistic and statistical models underlying the stochastic optimization algorithms; * Expands upon more sophisticated techniques including random and semi-random coverings, stratified sampling schemes, Markovian algorithms and population based algorithms; *Provides a thorough description of the methods based on statistical models of objective function; *Discusses criteria for evaluating efficiency of optimization algorithms and difficulties occurring in applied global optimization. Stochastic Global Optimization is intended for mature researchers and graduate students interested in global optimization, operations research, computer science, probability, statistics, computational and applied mathematics, mechanical and chemical engineering, and many other fields where methods of global optimization can be used |
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| descrición da copia: | l'impression du document génère 268 p. Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Bibliografía: | Bibliogr. Index |
| ISBN: | 9780387747408 |
| ISSN: | 1931-6836 |
| Acceso: | Accès en ligne pour les établissements français bénéficiaires des licences nationales Accès soumis à abonnement pour tout autre établissement Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 |