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Evolutionary Algorithms, Swarm Dynamics and Complex Networks

Name: Evolutionary Algorithms, Swarm Dynamics and Complex Networks
Brand: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
SKU: 21376606
Price: 2357 CZK
Availability: InStock
Author: Guanrong Chen
ISBN: 9783662572474

Methodology, Perspectives and Implementation

Guanrong Chen

Ivan Zelinka

Jazyk

Angličtina

Kniha Brožovaná

Libristo kód: 21376606

Nakladatelství Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, září 2018

Evolutionary algorithms constitute a class of well-known algorithms, which are designed based on the... Celý popis

Libristo kód: 21376606

236 b

2 357 Kč

Skladem u dodavatele Odesíláme za 5-8 dnů

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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.