TY - GEN digital ID - 131512662 TI - Surrogate-Based Modeling and Optimization : Applications in Engineering AU - Koziel, Slawomir AU - Leifsson, Leifur PY - 2013 SN - 9781461475514 PB - New York, NY Springer DB - UniCat KW - Numerical methods of optimisation KW - Operational research. Game theory KW - Mathematical statistics KW - Mathematics KW - Space research KW - Astronomy KW - Engineering sciences. Technology KW - Planning (firm) KW - Artificial intelligence. Robotics. Simulation. Graphics KW - Computer. Automation KW - astronauten KW - informatica KW - mathematische modellen KW - externe fixatie (geneeskunde KW - controleleer KW - econometrie KW - wiskunde KW - operationeel onderzoek KW - kansrekening KW - ruimtevaart KW - optimalisatie UR - https://www.unicat.be/uniCat?func=search&query=sysid:131512662 AB - Contemporary 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. ER -