000			03089nam a22004455c 4500
988			_aSpringer_Robotics_2020
999			_c115371 _d115371 _x1
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003			ES-MaUEC
005			20230110040231.0
006			a||||fo|||| 00| 0
007			cr nn nnnaamaa
008			190903s2020 gw a o |||| 0|eng d
020			_a9783030289171
024	7		_a10.1007/978-3-030-28917-1 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQA76.9 .A43 _b2020 EB
100	1		_aCuevas, Erik _eautor _944351
245	1	0	_aRecent metaheuristics algorithms for parameter identification _cby Erik Cuevas, Jorge Gálvez, Omar Avalos
250			_aFirst edition
264		1	_aCham _bSpringer International Publishing _c2020
300			_a1 recurso en línea (XIV, 297 páginas)
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_atext file _bPDF
490	0		_aStudies in Computational Intelligence _x1860-949X _v854
490	0		_aIntelligent Technologies and Robotics (Springer-42732)
505	0		_aIntroduction to optimization and metaheuristic methods -- Optimization techniques in parameters setting for Induction Motor -- An enhanced crow search algorithm applied to energy approaches -- Comparison of solar cells parameters estimation using several optimization algorithms -- Gravitational search algorithm for non-linear system identification using ANFIS-Hammerstein approach -- Fuzzy Logic Based Optimization Algorithm -- Neighborhood Based Optimization Algorithm -- Knowledge-Based Optimization Algorithm.
520	3		_aThis book presents new, alternative metaheuristic developments that have proved to be effective in various complex problems to help researchers, lecturers, engineers, and practitioners solve their own optimization problems. It also bridges the gap between recent metaheuristic techniques and interesting identification system methods that benefit from the convenience of metaheuristic schemes by explaining basic ideas of the proposed applications in ways that can be understood by readers new to these fields. As such it is a valuable resource for energy practitioners who are not researchers in metaheuristics. In addition, it offers members of the metaheuristic community insights into how system identification and energy problems can be translated into optimization tasks.
650		7	_2embne _aAlgoritmos computacionales _9151819
650		7	_2embne _9145705 _aOptimización matemática
700	1		_aGálvez, Jorge _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut
700	1		_aAvalos, Omar _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut
776	0	8	_iPrinted edition: _z9783030289164
776	0	8	_iPrinted edition: _z9783030289188
776	0	8	_iPrinted edition: _z9783030289195
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-28917-1 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_aSI _cm _dz _feng _ggw _h0 _b12/2019 _eel _zSI