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Stochastic Global Optimization

BuchGebunden
262 Seiten
Englisch
Springererschienen am26.11.2007
This book aims to cover major methodological and theoretical developments in the ?eld of stochastic global optimization. For example, there are excellent surveys on simulated annealing (both on theoretical and - plementation aspects of this method) and evolutionary algorithms (including genetic algorithms).mehr
Verfügbare Formate
BuchGebunden
EUR106,99
BuchKartoniert, Paperback
EUR106,99
E-BookPDF1 - PDF WatermarkE-Book
EUR96,29

Produkt

KlappentextThis book aims to cover major methodological and theoretical developments in the ?eld of stochastic global optimization. For example, there are excellent surveys on simulated annealing (both on theoretical and - plementation aspects of this method) and evolutionary algorithms (including genetic algorithms).

Inhalt/Kritik

Inhaltsverzeichnis
Basic Concepts and Ideas.- Global Random Search: Fundamentals and Statistical Inference.- Global Random Search: Extensions.- Methods Based on Statistical Models of Multimodal Functions.mehr
Kritik
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 stochastic 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 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)

"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 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)
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