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Springer Evolutionary Algorithms and Chaotic Systems Book

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Description

Explore the intersection of nonlinear systems and computational intelligence with Evolutionary Algorithms and Chaotic Systems. Published by Springer as part of the Studies in Computational Intelligence series (Volume 267), this volume addresses the essential role of chaos theory in modern science and engineering. Edited by Ivan Zelinka, Sergej Celikovsky, Hendrik Richter, and Guanrong Chen, the text covers significant developments in the field, including chaos control and chaos synchronization. As research trends move toward real-world applications, this book provides a necessary look at the nonlinear systems that have been observed and analyzed since the discovery of the Lorenz system. It serves as a valuable resource for researchers studying how chaotic systems and evolutionary algorithms function within complex computational environments.

Key Features

This Springer publication is part of the Studies in Computational Intelligence series, volume 267.

The volume is edited by Ivan Zelinka, Sergej Celikovsky, Hendrik Richter, and Guanrong Chen.

Content focuses on nonlinear systems, chaos control, and chaos synchronization.

The text examines the evolution of chaos theory from the Lorenz system to modern real-world applications.

This book provides research-level insights into evolutionary algorithms and chaotic systems.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
04 May 2012
Listed Since
11 May 2012

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