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008			150124s2015 gw | s |||| 0|eng d
020			_a9783319144009
024	7		_a10.1007/978-3-319-14400-9 _2doi
040			_bspa _dES-MaUEC
050		4	_aQ342 _b.A337 2015 EB
245	1	0	_aAdaptation and Hybridization in Computational Intelligence _cedited by Iztok Fister, Iztok Fister Jr.
264		1	_aCham _bSpringer International Publishing _c2015
300			_a1 recurso en línea (X, 237 páginas 42 ilustraciones, 1 ilustraciones a color.)
336			_2rdacontent _aTexto (visual) _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
490	0		_aAdaptation, Learning, and Optimization, _x1867-4534 ; _v18
490	0		_aEngineering (Springer-11647)
505	0		_aAdaptation and Hybridization in Nature-Inspired Algorithms -- Adaptation in the Differential Evolution -- On the Mutation Operators in Evolution Strategies -- Adaptation in Cooperative Coevolutionary Optimization -- Study of Lagrangian and Evolutionary Parameters in Krill Herd Algorithm -- Solutions of Non-Smooth Economic Dispatch Problems by Swarm Intelligence -- Hybrid Artifcial Neural Network for Fire Analysis of Steel Frames -- A Differential Evolution Algorithm with A Variable Neighborhood Search for Constrained Function Optimization -- A Memetic Differential Evolution Algorithm for the Vehicle Routing Problem with Stochastic Demands.
520	3		_a  This carefully edited book takes a walk through recent advances in adaptation and hybridization in the Computational Intelligence (CI) domain. It consists of ten chapters that are divided into three parts. The first part illustrates background information and provides some theoretical foundation tackling the CI domain, the second part deals with the adaptation in CI algorithms, while the third part focuses on the hybridization in CI. This book can serve as an ideal reference for researchers and students of computer science, electrical and civil engineering, economy, and natural sciences that are confronted with solving the optimization, modeling and simulation problems. It covers the recent advances in CI that encompass Nature-inspired algorithms, like Artificial Neural networks, Evolutionary Algorithms and Swarm Intelligence -based algorithms.  .
988			_aEBSPRINGER_2018
650		7	_aInteligencia artificial _2embne _9413115
700	1		_aFister, Iztok. _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt _9671433
700	1		_aFister Jr., Iztok. _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
776	0	8	_iEdición impresa: _z9783319144016
776	0	8	_iEdición impresa: _z9783319143996
776	0	8	_iEdición impresa: _z9783319359052
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-319-14400-9 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b03/2019 _dz _eIG _zSI