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Evolutionary Algorithms, Swarm Dynamics and Complex Networks - Methodology, Perspectives and Implementation (Hardcover, 1st ed. 2018) Loot Price: R3,726
Discovery Miles 37 260
You Save: R1,169 (24%)
Evolutionary Algorithms, Swarm Dynamics and Complex Networks - Methodology, Perspectives and Implementation (Hardcover, 1st ed....

Evolutionary Algorithms, Swarm Dynamics and Complex Networks - Methodology, Perspectives and Implementation (Hardcover, 1st ed. 2018)

Ivan Zelinka, Guanrong Chen

Series: Emergence, Complexity and Computation, 26

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List price R4,895 Loot Price R3,726 Discovery Miles 37 260 | Repayment Terms: R349 pm x 12* You Save R1,169 (24%)

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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.

General

Imprint: Springer-Verlag
Country of origin: Germany
Series: Emergence, Complexity and Computation, 26
Release date: December 2017
First published: 2018
Editors: Ivan Zelinka • Guanrong Chen
Dimensions: 235 x 155mm (L x W)
Format: Hardcover
Pages: 312
Edition: 1st ed. 2018
ISBN-13: 978-3-662-55661-0
Categories: Books > Science & Mathematics > Physics > General
Books > Computing & IT > General theory of computing > Data structures
Books > Computing & IT > Computer programming > Algorithms & procedures
Books > Reference & Interdisciplinary > Communication studies > Information theory > Cybernetics & systems theory
Books > Science & Mathematics > Mathematics > Applied mathematics > General
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LSN: 3-662-55661-8
Barcode: 9783662556610

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