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008			171125s2018 gw | s |||| 0|eng d
020			_a9783662556634
024	7		_a10.1007/978-3-662-55663-4 _2doi
040			_bspa _cES-MaUEC _dES-MaUEC
050		4	_aTA347.E96 _bE965 2018 EB
245	1	0	_aEvolutionary Algorithms, Swarm Dynamics and Complex Networks _bMethodology, Perspectives and Implementation _cedited by Ivan Zelinka, Guanrong Chen.
264		1	_aBerlin, Heidelberg _bSpringer International Publishing _c2018
300			_a1 recurso en línea (XXII, 312 páginas 194 ilustraciones, 155 ilustraciones a color.)
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_atext file _bPDF
490	0		_aEmergence, Complexity and Computation, _x2194-7287 _v26
490	0		_aEngineering (Springer-11647)
520	3		_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. .
988			_aEBSPRINGER_2018
650		7	_2embne _9667394 _aIngeniería _xModelos matemáticos
700	1		_aZelinka, Ivan. _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt _1http://viaf.org/viaf/107643475/ _998164
700	1		_aChen, Guanrong. _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt _0http://id.loc.gov/authorities/names/n83047162 _1http://viaf.org/viaf/5016328/
776	0	8	_iEdición impresa: _z9783662556610
776	0	8	_iEdición impresa: _z9783662556627
776	0	8	_iEdición impresa: _z9783662572474
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-662-55663-4 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE