LEADER 06291nam 22008655 450 001 9910739436503321 005 20260331110040.0 010 $a9781461475514 010 $a1461475511 024 7 $a10.1007/978-1-4614-7551-4 035 $a(OCoLC)847991123 035 $a(MiFhGG)GVRL6XLO 035 $a(CKB)2560000000103590 035 $a(MiAaPQ)EBC1317323 035 $a(MiFhGG)9781461475514 035 $a(DE-He213)978-1-4614-7551-4 035 $a(MiFhGG)9781461475507 035 $a(EXLCZ)992560000000103590 100 $a20130606d2013 u| 0 101 0 $aeng 135 $aurun|---uuuua 181 $ctxt 182 $cc 183 $acr 200 10$aSurrogate-Based Modeling and Optimization $eApplications in Engineering /$fedited by Slawomir Koziel, Leifur Leifsson 205 $a1st ed. 2013. 210 1$aNew York, NY :$cSpringer New York :$cImprint: Springer,$d2013. 215 $a1 online resource (viii, 412 pages) $cillustrations (some color) 225 0 $aGale eBooks 300 $aDescription based upon print version of record. 311 08$a9781461475507 311 08$a1461475503 320 $aIncludes bibliographical references. 327 $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. 330 $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. 606 $aMathematical models 606 $aAerospace engineering 606 $aAstronautics 606 $aAutomatic control 606 $aMathematical optimization 606 $aCalculus of variations 606 $aOperations research 606 $aManagement science 606 $aMathematics$xData processing 606 $aMathematical Modeling and Industrial Mathematics 606 $aAerospace Technology and Astronautics 606 $aControl and Systems Theory 606 $aCalculus of Variations and Optimization 606 $aOperations Research, Management Science 606 $aComputational Mathematics and Numerical Analysis 615 0$aMathematical models. 615 0$aAerospace engineering. 615 0$aAstronautics. 615 0$aAutomatic control. 615 0$aMathematical optimization. 615 0$aCalculus of variations. 615 0$aOperations research. 615 0$aManagement science. 615 0$aMathematics$xData processing. 615 14$aMathematical Modeling and Industrial Mathematics. 615 24$aAerospace Technology and Astronautics. 615 24$aControl and Systems Theory. 615 24$aCalculus of Variations and Optimization. 615 24$aOperations Research, Management Science. 615 24$aComputational Mathematics and Numerical Analysis. 676 $a510 701 $aKoziel$b Slawomir$0721636 701 $aLeifsson$b Leifur$0756078 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910739436503321 996 $aSurrogate-based modeling and optimization$94187488 997 $aUNINA