000			03323nam a22005175i 4500
001			978-0-387-33416-5
003			DE-He213
005			20250710083951.0
007			cr nn 008mamaa
008			100301s2006 xxu| s |||| 0|eng d
020			_a9780387334165 _a99780387334165
024	7		_a10.1007/0-387-33416-5 _2doi
082	0	4	_a658.40301 _223
100	1		_aAlba, Enrique. _eeditor.
245	1	0	_aMetaheuristic Procedures for Training Neutral Networks _h[recurso electrónico] / _cedited by Enrique Alba, Rafael Martí.
264		1	_aBoston, MA : _bSpringer US, _c2006.
300			_aXI, 250 p. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_arecurso en línea _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	1		_aOperations Research/Computer Science Interfaces Series, _x1387-666X ; _v36
505	0		_aClassical Training Methods -- Local Search Based Methods -- Simulated Annealing -- Tabu Search -- Variable Neighbourhood Search -- Population Based Methods -- Estimation of Distribution Algorithms -- Genetic Algorithms -- Scatter Search -- Other Advanced Methods -- Ant Colony Optimization -- Cooperative Coevolutionary Methods -- Greedy Randomized Adaptive Search Procedures -- Memetic Algorithms.
520			_aMetaheuristic Procedures For Training Neural Networks provides successful implementations of metaheuristic methods for neural network training. Moreover, the basic principles and fundamental ideas given in the book will allow the readers to create successful training methods on their own. Apart from Chapter 1, which reviews classical training methods, the chapters are divided into three main categories. The first one is devoted to local search based methods, including Simulated Annealing, Tabu Search, and Variable Neighborhood Search. The second part of the book presents population based methods, such as Estimation Distribution algorithms, Scatter Search, and Genetic Algorithms. The third part covers other advanced techniques, such as Ant Colony Optimization, Co-evolutionary methods, GRASP, and Memetic algorithms. Overall, the book's objective is engineered to provide a broad coverage of the concepts, methods, and tools of this important area of ANNs within the realm of continuous optimization.
650		0	_aECONOMICS.
650		0	_aCOMPUTER SCIENCE _xMATHEMATICS.
650		0	_aMATHEMATICAL OPTIMIZATION.
650		0	_aOPERATIONS RESEARCH.
650		0	_aBUSINESS LOGISTICS.
650	1	4	_aECONOMICS/MANAGEMENT SCIENCE.
650	2	4	_aOPERATIONS RESEARCH/DECISION THEORY.
650	2	4	_aOPTIMIZATION.
650	2	4	_aMATHEMATICAL MODELING AND INDUSTRIAL MATHEMATICS.
650	2	4	_aOPERATIONS RESEARCH, MATHEMATICAL PROGRAMMING.
650	2	4	_aPRODUCTION/LOGISTICS.
650	2	4	_aCOMPUTATIONAL MATHEMATICS AND NUMERICAL ANALYSIS.
700	1		_aMartí, Rafael. _eeditor.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9780387334158
830		0	_aOperations Research/Computer Science Interfaces Series, _x1387-666X ; _v36
856	4	0	_uhttp://dx.doi.org/10.1007/0-387-33416-5 _zVer el texto completo en las instalaciones del CICY
912			_aZDB-2-SBE
942			_2ddc _cER
999			_c57268 _d57268