Engineering Design via Surrogate Modelling von Alexander Forrester | A Practical Guide | ISBN 9780470770795

Engineering Design via Surrogate Modelling

A Practical Guide

von Alexander Forrester, Andras Sobester und Andy Keane
Mitwirkende
Autor / AutorinAlexander Forrester
Autor / AutorinAndras Sobester
Autor / AutorinAndy Keane
Buchcover Engineering Design via Surrogate Modelling | Alexander Forrester | EAN 9780470770795 | ISBN 0-470-77079-1 | ISBN 978-0-470-77079-5

Engineering Design via Surrogate Modelling

A Practical Guide

von Alexander Forrester, Andras Sobester und Andy Keane
Mitwirkende
Autor / AutorinAlexander Forrester
Autor / AutorinAndras Sobester
Autor / AutorinAndy Keane
Surrogate models expedite the search for promising designs bystanding in for expensive design evaluations or simulations. Theyprovide a global model of some metric of a design (such as weight, aerodynamic drag, cost, etc.), which can then be optimizedefficiently.
Engineering Design via Surrogate Modelling is aself-contained guide to surrogate models and their use inengineering design. The fundamentals of building, selecting, validating, searching and refining a surrogate are presented in amanner accessible to novices in the field. Figures are usedliberally to explain the key concepts and clearly show thedifferences between the various techniques, as well as to emphasizethe intuitive nature of the conceptual and mathematical reasoningbehind them.
More advanced and recent concepts are each presented instand-alone chapters, allowing the reader to concentrate onmaterial pertinent to their current design problem, and conceptsare clearly demonstrated using simple design problems. Thiscollection of advanced concepts (visualization, constrainthandling, coping with noisy data, gradient-enhanced modelling, multi-fidelity analysis and multiple objectives) represents aninvaluable reference manual for engineers and researchers active inthe area.
Engineering Design via Surrogate Modelling iscomplemented by a suite of Matlab codes, allowing the reader toapply all the techniques presented to their own design problems. Byapplying statistical modelling to engineering design, this bookbridges the wide gap between the engineering and statisticscommunities. It will appeal to postgraduates and researchers acrossthe academic engineering design community as well as practisingdesign engineers.
* Provides an inclusive and practical guide to using surrogatesin engineering design.
* Presents the fundamentals of building, selecting, validating, searching and refining a surrogate model.
* Guides the reader through the practical implementation of asurrogate-based design process using a set of case studies fromreal engineering design challenges.
Accompanied by a companion website featuring Matlab softwareat http://www. wiley. com/go/forrester