Stochastic Global Optimization

Stochastic Global Optimization
Author: Anatoly Zhigljavsky
Publisher: Springer Science & Business Media
Total Pages: 269
Release: 2007-11-20
Genre: Mathematics
ISBN: 0387747400

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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.