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OverviewThis 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. Full Product DetailsAuthor: Anatoly Zhigljavsky , Antanasz Zilinskas , Rainald MaassPublisher: Springer Imprint: Springer Dimensions: Width: 23.40cm , Height: 1.50cm , Length: 15.60cm Weight: 0.390kg ISBN: 9780387520506ISBN 10: 0387520503 Pages: 276 Publication Date: 12 August 2008 Audience: General/trade , General Format: Undefined Publisher's Status: Unknown Availability: Out of stock ![]() Language: English & German Table of ContentsReviews<p>From the reviews: <p> 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 stochastic global optimization, this text presents four chapters. (Tom Schulte, MathDL, February, 2008)<p> For global optimization, based on former monographs and articles of the authors on (global) random search, in this book global random search methods and stochastic 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)<p> The aim of the book is to present the major methodological and theoretical developments in the field of stochastic global optimization including global random search and methods based on probabilistic assumptions about thes Author InformationTab Content 6Author Website:Countries AvailableAll regions |