000			03741nam a22003855i 4500
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003			ES-MaUEC
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008			160319s2016 gw | s |||| 0|eng d
020			_a9783319302355
040			_aES-MaUEC
050		4	_aQ337.3 _bN388 2016
082	0	4	_a006.3
245	1	0	_aNature-Inspired Computation in Engineering _cedited by Xin-She Yang
250			_a1st ed.
260			_aCham _bSpringer International Publishing _c2016
300			_a1 recurso en línea (X, 276 páginas) _b54 ilustraciones, 34 ilustraciones en color
336			_aTexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
490	0		_aStudies in Computational Intelligence _x1860-949X _v637
505	0		_aFlower Pollination Algorithm and its Applications in Engineering -- An Evolutionary Discrete Firefly Algorithm with Novel Operators for Solving the Vehicle Routing Problem with TimeWindows -- The Plant Propagation Algorithm for Discrete Optimisation: The Case of the Travelling Salesman Problem -- Enhancing Cooperative Coevolution with Surrogate-Assisted Local Search -- Cuckoo Search: From Cuckoo Reproduction Strategy to Combinatorial Optimization -- Clustering Optimization for WSN based on Nature-Inspired Algorithms -- Discrete Firefly Algorithm for Recruiting Task in a Swarm of Robots -- Nature-Inspired Swarm Intelligence for Data Fitting in Reverse Engineering: Recent Advances and FutureTrends -- A Novel Fast Optimisation Algorithm Using Differential Evolution Algorithm Optimisation and Meta- Modelling Approach -- A Hybridization of Runner-Based and Seed-Based Plant Propagation Algorithm -- Gravitational Search Algorithm Applied to Cell Formation Problem -- Parameterless Bat Algorithm and its Performace Study.
520	3		_aThis timely review book summarizes the state-of-the-art developments in nature-inspired optimization algorithms and their applications in engineering. Algorithms and topics include the overview and history of nature-inspired algorithms, discrete firefly algorithm, discrete cuckoo search, plant propagation algorithm, parameter-free bat algorithm, gravitational search, biogeography-based algorithm, differential evolution, particle swarm optimization and others. Applications include vehicle routing, swarming robots, discrete and combinatorial optimization, clustering of wireless sensor networks, cell formation, economic load dispatch, metamodeling, surrogated-assisted cooperative co-evolution, data fitting and reverse engineering as well as other case studies in engineering. This book will be an ideal reference for researchers, lecturers, graduates and engineers who are interested in nature-inspired computation, artificial intelligence and computational intelligence. It can also serve as a reference for relevant courses in computer science, artificial intelligence and machine learning, natural computation, engineering optimization and data mining. .
650	0	7	_9151819 _aAlgoritmos computacionales _2embne
700	1		_aYang, Xin-She. _eeditor literario _997941 _0Local
710	2		_aSpringerLink (Online service) _0Local _9106996
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://link.springer.com/book/10.1007/978-3-319-30235-5 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
901			_ai9783319302355
907			_a.b12949620 _b10-10-17 _c21-11-16
942			_2lcc _cLE
945			_aQ337.3 N388 2016 EB _g1 _ieBOOK _j0 _lmae _o- _pEUR0.00 _q- _r- _sb _t15 _u0 _v0 _w0 _x0 _y.i11592849 _z06-04-17
988			_aEBOOK, asignarmaterias , EBSPRINGER
998			_am _a_alco _a_vill _b - - _cm _dz _e- _feng _ggw _h0