Evolutionary Algorithms, Swarm Dynamics and Complex Networks: Methodology, Perspectives and Implementation - Couverture rigide

9783662556610: Evolutionary Algorithms, Swarm Dynamics and Complex Networks: Methodology, Perspectives and Implementation

Couverture rigide

ISBN 10 : 3662556618 ISBN 13 : 9783662556610

Editeur : Springer-Verlag Berlin and Heidelberg GmbH & Co. K, 2017

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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

Les informations fournies dans la section � Synopsis � peuvent faire r�f�rence � une autre �dition de ce titre.

�diteur: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Date d'�dition: 2017
Langue: anglais
ISBN 10: 3662556618
ISBN 13: 9783662556610
Reliure: Reli�
Num�ro d'�dition: 1
Nombre de pages: 334
�diteur: Zelinka Ivan, Chen Guanrong
Coordonn�es du fabricant: Springer Nature Customer Service Center GmbH
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Evolutionary Algorithms, Swarm Dynamics and Complex Networks. Methodology, Perspectives and Implementation.

Zlinka, I. et al (Eds.)

Edit� par Berlin, Springer., 2018

ISBN 10 : 3662556618 ISBN 13 : 9783662556610

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Evolutionary Algorithms, Swarm Dynamics and Complex Networks: Methodology, Perspectives and Implementation (Emergence, Complexity and Computation, 26)

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Evolutionary Algorithms, Swarm Dynamics and Complex Networks

Guanrong Chen

Edit� par Springer Berlin Heidelberg Dez 2017, 2017

ISBN 10 : 3662556618 ISBN 13 : 9783662556610

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Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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), which are 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. 336 pp. Englisch. N� de r�f. du vendeur 9783662556610

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Evolutionary Algorithms, Swarm Dynamics and Complex Networks

Zelinka, Ivan|Chen, Guanrong

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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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. N� de r�f. du vendeur 154279894

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Evolutionary Algorithms, Swarm Dynamics and Complex Networks | Methodology, Perspectives and Implementation

Ivan Zelinka (u. a.)

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Evolutionary Algorithms, Swarm Dynamics and Complex Networks: Methodology, Perspectives and Implementation

Zelinka, Ivan (Edited by)/ Chen, Guanrong (Edited by)

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Evolutionary Algorithms, Swarm Dynamics and Complex Networks

Guanrong Chen

Edit� par Springer Berlin Heidelberg, Springer Berlin Heidelberg Dez 2017, 2017

ISBN 10 : 3662556618 ISBN 13 : 9783662556610

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Buch. Etat : Neu. Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 336 pp. Englisch. N� de r�f. du vendeur 9783662556610

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Evolutionary Algorithms, Swarm Dynamics and Complex Networks : Methodology, Perspectives and Implementation

Guanrong Chen

Edit� par Springer Berlin Heidelberg, 2017

ISBN 10 : 3662556618 ISBN 13 : 9783662556610

Neuf Couverture rigide

Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne

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Buch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. N� de r�f. du vendeur 9783662556610

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