Overview
- Puts together for the first time applications of Evolutionary Algorithms for the detection, evaluation, synthesis, mimic and control of chaotic systems
- Presents a very compact and highly evaluated bunch of research tools which can be used by students, researchers and professionals in the field of chaotic systems
- Includes a preface by Leon Chua
- Discusses the mutual intersection of two interesting fields of research, i.e. deterministic chaos and evolutionary computation
Part of the book series: Studies in Computational Intelligence (SCI, volume 267)
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Table of contents (16 chapters)
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Front Matter
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Applications
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Front Matter
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Keywords
About this book
This book is targeted for a number of audiences. Firstly, it will be an instructional material for senior undergraduate and entry-point graduate students in computer science, physics, applied mathematics, and engineering, who are working in the area of deterministic chaos and evolutionary algorithms. Secondly, researchers who desire to know how to apply evolutionary techniques on chaos control as well as researchers interested in the emergence of chaos in evolutionary algorithms will find this book a very useful tool and starting point. And finally, this book can be viewed as a resource handbook and material for practitioners who want to apply these methods that solve practical problems to their challenging applications.
Editors and Affiliations
Bibliographic Information
Book Title: Evolutionary Algorithms and Chaotic Systems
Editors: Ivan Zelinka, Sergej Celikovsky, Hendrik Richter, Guanrong Chen
Series Title: Studies in Computational Intelligence
DOI: https://doi.org/10.1007/978-3-642-10707-8
Publisher: Springer Berlin, Heidelberg
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2010
Hardcover ISBN: 978-3-642-10706-1Published: 23 February 2010
Softcover ISBN: 978-3-642-26255-5Published: 04 May 2012
eBook ISBN: 978-3-642-10707-8Published: 10 March 2010
Series ISSN: 1860-949X
Series E-ISSN: 1860-9503
Edition Number: 1
Number of Pages: 560
Number of Illustrations: 600 b/w illustrations
Topics: Computational Intelligence, Complexity, Complex Systems, Artificial Intelligence, Statistical Physics and Dynamical Systems