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Více informací o knize Stochastic Global Optimization

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Anotace knihy

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.

Parametry knihy

Zařazení knihy Knihy v angličtině Mathematics & science Mathematics Optimization

• Plný název: Stochastic Global Optimization
• Autor: Anatoly Zhigljavsky, Antanas Zilinskas
• Jazyk: Angličtina
• Vazba: Pevná
• Počet stran: 262
• EAN: 9780387740225
• ISBN: 0387740228
• ID: 01382709
• Nakladatelství: Springer-Verlag New York Inc.
• Hmotnost: 1250 g
• Rozměry: 235 × 155 × 19 mm
• Datum vydání: 20. November 2007

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