Overview
- A significant part of the book deals with benchmarking and comparing the performances of different optimization schemes
- Includes supplementary material: sn.pub/extras
Part of the book series: Scientific Computation (SCIENTCOMP)
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Keywords
Table of contents (50 chapters)
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Theory Overview of Stochastic Optimization Algorithms
Reviews
From the reviews:
"The book is devoted to stochastic global optimization methods. … The book is primarily addressed to scientists and students from the physical and engineering sciences but may also be useful to a larger community interested in stochastic methods of global optimization." (A. H. Žilinskas, Mathematical Reviews, Issue 2007 i)
"This book provides a rich collection of stochastic optimization algorithms and heuristics that cope with optimization issues. … In summary, this is a good book on stochastic optimization. It is important book of any engineering library or laboratory. In my opinion, this book may be used as a quick reference for sophisticated scholars, or as an introductory book for students who are interested in an overview of the state-of-the-art mechanisms in this field." (Wei Yen, Computing Reviews, December, 2007)
"This book presents a compendium of Stochastic Optimisation concerned with the use of heuristics mainly including Markov Chain Monte Carlo methods. It is divided into 3 parts. … 216 references are listed. They cover the main existing results in the theme. I consider that an outstanding feature of the book is its successful synthesis of giving in an ‘altogether’ curve information needed for being comfortable with the realms of heuristic algorithms. I warmly recommended it for specialists working in optimization." (Carlos Narciso Bouza Herrera, Zentralblatt MATH, Vol. 1116 (18), 2007)
Authors and Affiliations
Bibliographic Information
Book Title: Stochastic Optimization
Authors: Johannes Josef Schneider, Scott Kirkpatrick
Series Title: Scientific Computation
DOI: https://doi.org/10.1007/978-3-540-34560-2
Publisher: Springer Berlin, Heidelberg
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2006
Hardcover ISBN: 978-3-540-34559-6Published: 07 November 2006
Softcover ISBN: 978-3-642-07094-5Published: 19 November 2010
eBook ISBN: 978-3-540-34560-2Published: 06 August 2007
Series ISSN: 1434-8322
Series E-ISSN: 2198-2589
Edition Number: 1
Number of Pages: XVI, 568
Topics: Artificial Intelligence, Optimization, Probability Theory and Stochastic Processes, Numerical and Computational Physics, Simulation, Computational Science and Engineering, Computational Intelligence