000			04975nam a22003735i 4500
001			290196
003			MX-SnUAN
005			20160429154738.0
007			cr nn 008mamaa
008			150903s2013 xxu| o |||| 0|eng d
020			_a9781461475514 _99781461475514
024	7		_a10.1007/9781461475514 _2doi
035			_avtls000342235
039		9	_a201509030850 _bVLOAD _c201405050240 _dVLOAD _y201402061121 _zstaff
040			_aMX-SnUAN _bspa _cMX-SnUAN _erda
050		4	_aTA342-343
100	1		_aKoziel, Slawomir. _eeditor. _9320792
245	1	0	_aSurrogate-Based Modeling and Optimization : _bApplications in Engineering / _cedited by Slawomir Koziel, Leifur Leifsson.
264		1	_aNew York, NY : _bSpringer New York : _bImprint: Springer, _c2013.
300			_aviii, 412 páginas 245 ilustraciones, 142 ilustraciones en color. _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		_aSpace Mapping for Electromagnetic-Simulation-Driven Design Optimization, Slawomir Koziel, Leifur Leifsson, and Stanislav Ogurtsov -- Surrogate-Based Circuit Design Centering, Abdel-Karim S.O. Hassan and Ahmed S.A. Mohamed -- Simulation-Driven Antenna Design Using Surrogate-Based Optimization, Slawomir Koziel, Stanislav Ogurtsov, and Leifur Leifsson -- Practical Application of Space Mapping Techniques to the Synthesis of CSRR-based Artificial Transmission Lines, Ana Rodríguez, Jordi Selga, Ferran Martín and Vicente E. Boria -- The Efficiency of Difference Mapping on Space Mapping Based Optimization, Murat Simsek, Neslihan Serap Sengor -- Bayesian Support Vector Regression Modeling of Microwave Structures for Design Applications, J. Pieter Jacobs, Slawomir Koziel, Leifur Leifsson -- Artificial Neural Networks and Space Mapping For EM-Based Modelling and Design of Microwave Circuits, José Ernesto Rayas-Sánchez -- Model-Based Variation-Aware Integrated Circuit Design, Ting Zhu, Mustafa Berke Yelten, Michael B. Steer, and Paul D. Franzon -- Computing Surrogates for Gas Network Simulation using Model Order Reduction, Sara Grundel, Nils Hornung, Bernhard Klaassen, Peter Benner, and Tanja Clees -- Aerodynamic Shape Optimization by Space Mapping, Leifur Leifsson, Slawomir Koziel, Eirikur Jonsson, Stanislav Ogurtsov -- Efficient Robust Design with Stochastic Expansions, Yi Zhang, and Serhat Hosder -- Surrogate Models for Aerodynamic Shape Optimisation, Selvakumar Ulaganathan, and Nikolaos Asproulis -- Knowledge-Based Surrogate Modeling in Engineering Design Optimization, Qian Xu, Erich Wehrle, Horst Baier -- Switching Response Surface Models for Structural Health Monitoring of Bridges, Keith Worden, Elizabeth J. Cross, and James M.W. Brownjohn -- Surrogate Modeling of Stability Constraints for Optimization of Composite Structures -- S. Grihon, E. Burnaev, M. Belyaev, P. Prikhodko -- Engineering Optimization and Industrial Applications, Xin-She Yang.
520			_aContemporary engineering design is heavily based on computer simulations. Accurate, high-fidelity simulations are used not only for design verification but, even more importantly, to adjust parameters of the system to have it meet given performance requirements. Unfortunately, accurate simulations are often computationally very expensive with evaluation times as long as hours or even days per design, making design automation using conventional methods impractical. These and other problems can be alleviated by the development and employment of so-called surrogates that reliably represent the expensive, simulation-based model of the system or device of interest but they are much more reasonable and analytically tractable.    This book is about surrogate-based modeling and optimization techniques, and their applications for solving difficult and computationally expensive engineering design problems. It begins by presenting the basic concepts and formulations of the surrogate-based modeling and optimization paradigm and then discusses relevant modeling techniques, optimization algorithms and design procedures, as well as state-of-the-art developments. The chapters are self-contained with basic concepts and formulations along with applications and examples. The book will be useful to researchers in engineering and mathematics, in particular those who employ computationally heavy simulations in their design work.
590			_aPara consulta fuera de la UANL se requiere clave de acceso remoto.
700	1		_aLeifsson, Leifur. _eeditor. _9320793
710	2		_aSpringerLink (Servicio en línea) _9299170
776	0	8	_iEdición impresa: _z9781461475507
856	4	0	_uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/978-1-4614-7551-4 _zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL)
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999			_c290196 _d290196