Stochastic Global Optimization
| Autor: | Anatoly Zhigljavsky, Antanas Žilinskas |
|---|---|
| EAN: | 9780387747408 |
| eBook Format: | |
| Sprache: | Englisch |
| Produktart: | eBook |
| Veröffentlichungsdatum: | 20.11.2007 |
| Kategorie: | |
| Schlagworte: | SOIA algorithms global optimization optimization population-based methods random search statistical inference about minimum stochastic global optimization stochastic models about objective function |
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This book examines the main methodological and theoretical developments in stochastic global optimization. It is designed to inspire readers to explore various stochastic methods of global optimization by clearly explaining the main methodological principles and features of the methods. Among the book's features is a comprehensive study of probabilistic and statistical models underlying the stochastic optimization algorithms.
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