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020			_a9789811503061
024	7		_a10.1007/978-981-15-0306-1 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQ337.3 _b2020 EB
245	0	0	_aApplications of Firefly Algorithm and its Variants _bCase Studies and New Developments _cedited by Nilanjan Dey.
250			_a1st ed. 2020.
264		1	_aSingapore _bSpringer Singapore : _bImprint: Springer _c2020.
300			_a1 recurso en línea (XIII, 266 páginas) _b97 ilustraciones, 71 ilustraciones a color
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_atext file _bPDF
490	0		_aSpringer Tracts in Nature-Inspired Computing _x2524-552X
490	0		_aIntelligent Technologies and Robotics (Springer-42732)
505	0		_aFirefly Algorithm and its Variants in Digital Image Processing: A Comprehensive Review -- Development of firefly algorithm interface for parameter optimization of electrochemical based machining processes -- A Firefly Algorithm-based Approach for Identifying Coalitions of Energy Providers that Best Satisfy the Energy Demand -- Structural damage identification using adaptive hybride volutionary Firefly algorithm -- An automated approach for developing a Convolutional Neural Network using a modified Firefly algorithm for Image Classification.
520	3		_aThe book discusses advantages of the firefly algorithm over other well-known metaheuristic algorithms in various engineering studies. The book provides a brief outline of various application-oriented problem solving methods, like economic emission load dispatch problem, designing a fully digital controlled reconfigurable switched beam nonconcentric ring array antenna, image segmentation, span minimization in permutation flow shop scheduling, multi-objective load dispatch problems, image compression, etc., using FA and its variants. It also covers the use of the firefly algorithm to select features, as research has shown that the firefly algorithm generates precise and optimal results in terms of time and optimality. In addition, the book also explores the potential of the firefly algorithm to provide a solution to traveling salesman problem, graph coloring problem, etc.
988			_aPrimersemestre_2020_Robotics
650		7	_2embne _aInteligencia artificial _9413115
650		7	_2embne _aProceso digital de imágenes _9413188
700	1		_aDey, Nilanjan, _d1984- _eeditor _4edt _4http://id.loc.gov/vocabulary/relators/edt _998032
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9789811503054
776	0	8	_iPrinted edition: _z9789811503078
776	0	8	_iPrinted edition: _z9789811503085
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-15-0306-1 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE _n0
998			_b03/2020 _dz _ek _zSI