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Stochastic Global Optimization
     

Stochastic Global Optimization

by Anatoly Zhigljavsky, Antanas Zilinskas
 

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This book examines the main methodological and theoretical developments in shastic global optimization. It is designed to inspire readers to explore various shastic 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

Overview

This book examines the main methodological and theoretical developments in shastic global optimization. It is designed to inspire readers to explore various shastic 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 shastic optimization algorithms.

Editorial Reviews

From the Publisher
From the reviews:

"This excellent book is written for researchers interested in global optimization. … the approach of carrying through from basic ideas to the most recent techniques will make this a valuable resource for the initiated. … Gathering together contemporary methods and developments in shastic global optimization, this text presents four chapters." (Tom Schulte, MathDL, February, 2008)

"For global optimization, based on former monographs and articles of the authors on (global) random search, in this book global random search methods and shastic models for the objective function are presented. … This well-written book contains many references on the field of (global) random search techniques." (Kurt Marti, Mathematical Reviews, Issue 2008 j)

"The aim of the book is to present the major methodological and theoretical developments in the field of shastic global optimization including global random search and methods based on probabilistic assumptions about the objective function. The book contains four chapters. … The book also contains an index. The book is well written and the presentation is … self-contained." (I. M. Stancu-Minasian, Zentralblatt MATH, Vol. 1136 (14), 2008)

Product Details

ISBN-13:
9780387740225
Publisher:
Springer US
Publication date:
11/26/2007
Series:
Springer Optimization and Its Applications Series , #9
Edition description:
2008
Pages:
262
Product dimensions:
6.20(w) x 9.30(h) x 0.90(d)

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