000			02160nam a22003495i 4500
001			102993
003			DE-He213
005			20240307114546.0
007			cr nn 008mamaa
008			180204s2018 gw | s |||| 0|eng d
020			_a9783319733296
024	7		_a10.1007/978-3-319-73329-6 _2doi
050		4	_aQA76.623 2018 EB
040			_aES-MaUEC _bspa
100	1		_aBaúto, João _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut
245	1	0	_aParallel Genetic Algorithms for Financial Pattern Discovery Using GPUs _cby João Baúto, Rui Neves, Nuno Horta.
264		1	_aCham _bSpringer International Publishing _c2018
300			_a1 recurso en línea (XIV, 91 páginas 50 ilustraciones)
347			_atext file _bPDF
490	0		_aSpringerBriefs in Computational Intelligence _x2625-3704
505	0		_aIntroduction -- State-of-the-Art in Pattern Recognition Techniques -- SAX/GA CPU Approach -- GPU-accelerated SAX/GA -- Conclusions and Future Work in the Field.
520	3		_aThis Brief presents a study of SAX/GA, an algorithm to optimize market trading strategies, to understand how the sequential implementation of SAX/GA and genetic operators work to optimize possible solutions. This study is later used as the baseline for the development of parallel techniques capable of exploring the identified points of parallelism that simply focus on accelerating the heavy duty fitness function to a full GPU accelerated GA. .
650		7	_aAlgoritmos genéticos _2embne _9667357
700	1		_aNeves, Rui _0http://id.loc.gov/authorities/names/n79059395 _1http://viaf.org/viaf/8698177/
700	1		_aHorta, Nuno C. G. _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _1http://viaf.org/viaf/120864246/ _9677277
776	0	8	_iEdición impresa: _z9783319733289
776	0	8	_iEdición impresa: _z9783319733302
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-319-73329-6 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
490	0		_aEngineering (Springer-11647)
988			_aEBSPRINGER_2018
998			_b02/2019 _dz _ef _feng _ggw _h0
999			_c102993 _d102993 _x1