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Engineering Design via Surrogate Modelling
A Practical Guide
Alexander Forrester, András Sóbester, Andy Keane
School of Engineering Sciences, University of Southampton
Surrogate models expedite the search for promising designs by standing in for expensive design evaluations or simulations. They provide a global model of some metric of a design (such as weight, aerodynamic drag, cost, etc.), which can then be optimized efficiently.
Engineering Design via Surrogate Modelling is a self-contained guide to surrogate models and their use in engineering design. The fundamentals of building, selecting, validating, searching and refining a surrogate are presented in a manner accessible to novices in the field. Figures are used liberally to explain the key concepts and clearly show the differences between the various techniques, as well as to emphasize the intuitive nature of the conceptual and mathematical reasoning behind them.
More advanced and recent concepts are each presented in stand-alone chapters, allowing the reader to concentrate on material pertinent to their current design problem, and concepts are clearly demonstrated using simple design problems. This collection of advanced concepts (visualization, constraint handling, coping with noisy data, gradient-enhanced modelling, multi-fidelity analysis and multiple objectives) represents an invaluable reference manual for engineers and researchers active in the area.
Engineering Design via Surrogate Modelling is complemented by a suite of MATLAB® codes, allowing the reader to apply all the techniques presented to their own design problems. By applying statistical modelling to engineering design, this book bridges the wide gap between the engineering and statistics communities. It will appeal to postgraduates and researchers across the academic engineering design community as well as practising design engineers.
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Descripción Condición: New. Statistical models can be used in lieu of expensive design evaluations when performing engineering design optimization. The statistical model, or "surrogate," provides a global model of the objective function of the design process and is used to expedite the search of promising designs. Num Pages: 228 pages, Illustrations. BIC Classification: TG; TJ. Category: (P) Professional & Vocational. Dimension: 251 x 174 x 19. Weight in Grams: 640. . 2008. 1st Edition. Hardcover. . . . . Nº de ref. del artículo: V9780470060681
Descripción Gebunden. Condición: New. Dr. Alexander I. J. Forrester is Lecturer in Engineering Design at the University of Southampton. His main area of research focuses on improving the efficiency with which expensive analysis (particularly computational fluid dynamics) is used in design. His . Nº de ref. del artículo: 556553938
Descripción Hardcover. Condición: Brand New. 1st edition. 228 pages. 9.50x6.75x0.75 inches. In Stock. Nº de ref. del artículo: __0470060689