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008 150903s2007 xxu| o |||| 0|eng d
020 _a9780387686929
_99780387686929
024 7 _a10.1007/9780387686929
_2doi
035 _avtls000331910
039 9 _a201509030208
_bVLOAD
_c201404121950
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040 _aMX-SnUAN
_bspa
_cMX-SnUAN
_erda
050 4 _aTA329-348
100 1 _aHo, Yu-Chi.
_eautor
_9304702
245 1 0 _aOrdinal Optimization :
_bSoft Optimization for Hard Problems /
_cby Yu-Chi Ho, Qian-Chuan Zhao, Qing-Shan Jia.
264 1 _aBoston, MA :
_bSpringer US,
_c2007.
300 _axv, 317 páginas
_brecurso en línea.
336 _atexto
_btxt
_2rdacontent
337 _acomputadora
_bc
_2rdamedia
338 _arecurso en línea
_bcr
_2rdacarrier
347 _aarchivo de texto
_bPDF
_2rda
500 _aSpringer eBooks
505 0 _aOrdinal Optimization Fundamentals -- Comparison of Selection Rules -- Vector Ordinal Optimization -- Constrained Ordinal Optimization -- Memory Limited Strategy Optimization -- Additional Extensions of the OO Methodology -- Real World Application Examples.
520 _aPerformance evaluation of increasingly complex human-made systems requires the use of simulation models. However, these systems are difficult to describe and capture by succint mathematical models. The purpose of this book is to address the difficulties of the optimization of complex systems via simulation models or other computation-intensive models involving possible stochastic effects and discrete choices. This book establishes distinct advantages of the "softer" ordinal approach for search-based type problems, analyzes its general properties, and shows the many orders of magnitude improvement in computational efficiency that is possible.
590 _aPara consulta fuera de la UANL se requiere clave de acceso remoto.
700 1 _aZhao, Qian-Chuan.
_eautor
_9304703
700 1 _aJia, Qing-Shan.
_eautor
_9304704
710 2 _aSpringerLink (Servicio en línea)
_9299170
776 0 8 _iEdición impresa:
_z9780387372327
856 4 0 _uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/978-0-387-68692-9
_zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL)
942 _c14
999 _c280040
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