Overview
- Includes recent research in Complex Networks and Evolutionary Dynamics
- Highlights the mutual relations between the dynamics of evolutionary algorithms, complex networks, and CML (Coupled Map Lattices) systems
- Shows how these relations can be used to simulate spatiotemporal deterministic chaos
- Includes supplementary material: sn.pub/extras
Part of the book series: Emergence, Complexity and Computation (ECC, volume 26)
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Table of contents (15 chapters)
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Front Matter
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Applications
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Front Matter
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Miscellanies
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Front Matter
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Keywords
About this book
Evolutionary algorithms constitute a class of well-known algorithms, which are designed based on the Darwinian theory of evolution and Mendelian theory of heritage. They are partly based on random and partly based on deterministic principles. Due to this nature, it is challenging to predict and control its performance in solving complex nonlinear problems. Recently, the study of evolutionary dynamics is focused not only on the traditional investigations but also on the understanding and analyzing new principles, with the intention of controlling and utilizing their properties and performances toward more effective real-world applications. In this book, based on many years of intensive research of the authors, is proposing novel ideas about advancing evolutionary dynamics towards new phenomena including many new topics, even the dynamics of equivalent social networks. In fact, it includes more advanced complex networks and incorporates them with the CMLs (coupled map lattices), whichare usually used for spatiotemporal complex systems simulation and analysis, based on the observation that chaos in CML can be controlled, so does evolution dynamics. All the chapter authors are, to the best of our knowledge, originators of the ideas mentioned above and researchers on evolutionary algorithms and chaotic dynamics as well as complex networks, who will provide benefits to the readers regarding modern scientific research on related subjects.
Editors and Affiliations
Bibliographic Information
Book Title: Evolutionary Algorithms, Swarm Dynamics and Complex Networks
Book Subtitle: Methodology, Perspectives and Implementation
Editors: Ivan Zelinka, Guanrong Chen
Series Title: Emergence, Complexity and Computation
DOI: https://doi.org/10.1007/978-3-662-55663-4
Publisher: Springer Berlin, Heidelberg
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer-Verlag GmbH Germany 2018
Hardcover ISBN: 978-3-662-55661-0Published: 11 December 2017
Softcover ISBN: 978-3-662-57247-4Published: 04 September 2018
eBook ISBN: 978-3-662-55663-4Published: 25 November 2017
Series ISSN: 2194-7287
Series E-ISSN: 2194-7295
Edition Number: 1
Number of Pages: XXII, 312
Number of Illustrations: 39 b/w illustrations, 155 illustrations in colour
Topics: Complexity, Applications of Graph Theory and Complex Networks