Overview
- Recent research on Global Optimization with applications to many fields of knowledge
- Recent research on simulated annealing and applications
- Written by leading experts in the field
Part of the book series: Intelligent Systems Reference Library (ISRL, volume 35)
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Table of contents (12 chapters)
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Front Matter
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Fundamentals
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Front Matter
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ASA, Fuzzy ASA and Their Characteristics
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Front Matter
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Back Matter
Keywords
About this book
Stochastic global optimization is a very important subject, that has applications in virtually all areas of science and technology. Therefore there is nothing more opportune than writing a book about a successful and mature algorithm that turned out to be a good tool in solving difficult problems. Here we present some techniques for solving several problems by means of Fuzzy Adaptive Simulated Annealing (Fuzzy ASA), a fuzzy-controlled version of ASA, and by ASA itself. ASA is a sophisticated global optimization algorithm that is based upon ideas of the simulated annealing paradigm, coded in the C programming language and developed to statistically find the best global fit of a nonlinear constrained, non-convex cost function over a multi-dimensional space. By presenting detailed examples of its application we want to stimulate the reader’s intuition and make the use of Fuzzy ASA (or regular ASA) easier for everyone wishing to use these tools to solve problems. We kept formal mathematical requirements to a minimum and focused on continuous problems, although ASA is able to handle discrete optimization tasks as well. This book can be used by researchers and practitioners in engineering and industry, in courses on optimization for advanced undergraduate and graduate levels, and also for self-study.
Authors and Affiliations
Bibliographic Information
Book Title: Stochastic Global Optimization and Its Applications with Fuzzy Adaptive Simulated Annealing
Authors: Hime Aguiar e Oliveira Junior, Lester Ingber, Antonio Petraglia, Mariane Rembold Petraglia, Maria Augusta Soares Machado
Series Title: Intelligent Systems Reference Library
DOI: https://doi.org/10.1007/978-3-642-27479-4
Publisher: Springer Berlin, Heidelberg
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer-Verlag GmbH Berlin Heidelberg 2012
Hardcover ISBN: 978-3-642-27478-7Published: 27 January 2012
Softcover ISBN: 978-3-642-43343-6Published: 22 February 2014
eBook ISBN: 978-3-642-27479-4Published: 26 January 2012
Series ISSN: 1868-4394
Series E-ISSN: 1868-4408
Edition Number: 1
Number of Pages: XII, 207
Number of Illustrations: 59 b/w illustrations
Topics: Computational Intelligence, Mathematical and Computational Engineering, Artificial Intelligence
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