Stochastic global optimization
Author(s)
Bibliographic Information
Stochastic global optimization
（Springer optimization and its applications, v. 9）
Springer, c2008
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It is displayed with vol. 1, in [p. II].
Description and Table of Contents
Description
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.
Table of Contents
Basic Concepts and Ideas.- Global Random Search: Fundamentals and Statistical Inference.- Global Random Search: Extensions.- Methods Based on Statistical Models of Multimodal Functions.
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