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000824877 019__ $$a1013825895$$a1017785044$$a1021258685$$a1032280955
000824877 020__ $$a9783662556634$$q(electronic book)
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000824877 0247_ $$a10.1007/978-3-662-55663-4$$2doi
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000824877 049__ $$aISEA
000824877 050_4 $$aTA347.E96
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000824877 24500 $$aEvolutionary algorithms, swarm dynamics and complex networks :$$bmethodology, perspectives and implementation /$$cIvan Zelinka, Guanrong Chen, editors.
000824877 260__ $$aBerlin, Germany :$$bSpringer,$$cc2018.
000824877 300__ $$a1 online resource (322 pages)
000824877 336__ $$atext$$btxt$$2rdacontent
000824877 337__ $$acomputer$$bc$$2rdamedia
000824877 338__ $$aonline resource$$bcr$$2rdacarrier
000824877 347__ $$atext file$$bPDF$$2rda
000824877 4901_ $$aEmergence, Complexity and Computation ;$$vv.26
000824877 506__ $$aAccess limited to authorized users.
000824877 520__ $$aEvolutionary algorithms constitute a class of well-known algorithms, which are designed based on the Darwinian theory of evolution and Mendelian theory of heritage. They are partly based on random and partly based on deterministic principles. Due to this nature, it is challenging to predict and control its performance in solving complex nonlinear problems. Recently, the study of evolutionary dynamics is focused not only on the traditional investigations but also on the understanding and analyzing new principles, with the intention of controlling and utilizing their properties and performances toward more effective real-world applications. In this book, based on many years of intensive research of the authors, is proposing novel ideas about advancing evolutionary dynamics towards new phenomena including many new topics, even the dynamics of equivalent social networks. In fact, it includes more advanced complex networks and incorporates them with the CMLs (coupled map lattices), which are usually used for spatiotemporal complex systems simulation and analysis, based on the observation that chaos in CML can be controlled, so does evolution dynamics. All the chapter authors are, to the best of our knowledge, originators of the ideas mentioned above and researchers on evolutionary algorithms and chaotic dynamics as well as complex networks, who will provide benefits to the readers regarding modern scientific research on related subjects. .
000824877 588__ $$aDescription based on print version record.
000824877 650_0 $$aEvolutionary computation.
000824877 650_0 $$aSwarm intelligence.
000824877 7001_ $$aZelinka, Ivan,$$d1965-
000824877 7001_ $$aChen, G.$$q(Guanrong)
000824877 77608 $$iPrint version:$$aZelinka, Ivan$$tEvolutionary Algorithms, Swarm Dynamics and Complex Networks : Methodology, Perspectives and Implementation$$dBerlin, Heidelberg : Springer Berlin Heidelberg,c2017$$z9783662556610
000824877 830_0 $$aEmergence, complexity and computation ;$$v26.
000824877 852__ $$bebk
000824877 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-662-55663-4$$zOnline Access$$91397441.1
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