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008 170330s2017 gw a ob 000 0 eng d
020 _a3662544288
_q(electronic bk.)
020 _a9783662544280
_q(electronic bk.)
020 _z3662544261
020 _z9783662544266
_q(print)
040 _aGW5XE
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_bspa
050 4 _aQ342
_b.M483 2017 EB
245 0 0 _aMetaheuristics for medicine and biology
_cAmir Nakib, El-Ghazali Talbi, editors.
264 1 _aBerlin, Germany
_bSpringer
_c2017.
300 _a1 recurso en línea (xviii, 211 páginas)
_bilustraciones (algunas a color)
336 _aTexto
_btxt
_2rdacontent
337 _aelectrónico
_bc
_2rdamedia
338 _arecurso electrónico
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 0 _aStudies in computational intelligence
_x1860-949X
_vvolume 704
500 _aSpringerLink
_bSpringer Engineering eBooks 2017 English+International
504 _aIncluye referencias bibliográficas
520 3 _aThis book highlights recent research on metaheuristics for biomedical engineering, addressing both theoretical and applications aspects. Given the multidisciplinary nature of bio-medical image analysis, it has now become one of the most central topics in computer science, computer engineering and electrical and electronic engineering, and attracted the interest of many researchers. To deal with these problems, many traditional and recent methods, algorithms and techniques have been proposed. Among them, metaheuristics is the most common choice. This book provides essential content for senior and young researchers interested in methodologies for implementing metaheuristics to help solve biomedical engineering problems.
650 7 _aInteligencia artificial
_2embne
_0(OCoLC)fst00871995
_0
_9413115
700 1 _aNakib, Amir,
_eeditor literario
700 1 _aTalbi, El-Ghazali,
_d1965-
_eeditor literario
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=http://link.springer.com/10.1007/978-3-662-54428-0
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
988 _aEBOOK, asignarmaterias, EBSPRINGER_2017C
998 _b02/2018
_dz
_e-
_zSI
999 _c95683
_d95683
_x1