Evolutionary Algorithms, Swarm Dynamics and Complex Networks (Record no. 78284)

000 -LEADER
fixed length control field 03578nam a22005655i 4500
001 - CONTROL NUMBER
control field 978-3-662-55663-4
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220801220156.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 171125s2018 gw | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9783662556634
-- 978-3-662-55663-4
082 04 - CLASSIFICATION NUMBER
Call Number 515.39
245 10 - TITLE STATEMENT
Title Evolutionary Algorithms, Swarm Dynamics and Complex Networks
Sub Title Methodology, Perspectives and Implementation /
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2018.
300 ## - PHYSICAL DESCRIPTION
Number of Pages XXII, 312 p. 194 illus., 155 illus. in color.
490 1# - SERIES STATEMENT
Series statement Emergence, Complexity and Computation,
520 ## - SUMMARY, ETC.
Summary, etc 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. .
700 1# - AUTHOR 2
Author 2 Zelinka, Ivan.
700 1# - AUTHOR 2
Author 2 Chen, Guanrong.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://doi.org/10.1007/978-3-662-55663-4
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks
264 #1 -
-- Berlin, Heidelberg :
-- Springer Berlin Heidelberg :
-- Imprint: Springer,
-- 2018.
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-- text
-- txt
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-- computer
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-- rdamedia
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-- online resource
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-- rdacarrier
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-- text file
-- PDF
-- rda
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Dynamics.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Nonlinear theories.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Graph theory.
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Applied Dynamical Systems.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Graph Theory.
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
-- 2194-7295 ;
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-- ZDB-2-ENG
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-- ZDB-2-SXE

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