Surrogate Model-Based Engineering Design and Optimization (Springer Tracts in Mechanical Engineering)
by Ping Jiang, Qi Zhou and Xinyu Shao
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This book covers some of the most popular methods in design space sampling, ensembling surrogate models, multi-fidelity surrogate model construction, surrogate model selection and validation, surrogate-based robust design optimization, and surrogate-based evolutionary optimization.
Surrogate or metamodels are now frequently used in complex engineering product design to replace expensive simulations or physical experiments. They are constructed from available input parameter values and the corresponding output performance or quantities of interest (QOIs) to provide predictions based on the fitted or interpolated mathematical relationships.
The book highlights a range of methods for ensembling surrogate and multi-fidelity models, which offer a good balance between surrogate modeling accuracy and building cost. A number of real-world engineering design problems, such as three-dimensional aircraft design, are also provided to illustrate the ability of surrogates for supporting complex engineering design. Lastly, illustrative examples are included throughout to help explain the approaches in a more “hands-on” manner.
The book, Surrogate Model-Based Engineering Design and Optimization (Springer Tracts in Mechanical Engineering) [Bulk, Wholesale, Quantity] ISBN#9789811507304 in Hardcover by Ping Jiang, Qi Zhou, Xinyu Shao may be ordered in bulk quantities. Minimum starts at 25 copies. Availability based on publisher status and quantity being ordered.
Details
- Publisher
- Springer Nature Singapore
- Authors
- Ping Jiang, Qi Zhou, Xinyu Shao
- Format
- Hardcover
- Published
- Nov 15, 2019
- ISBN-13
- 9789811507304
- Pages
- 240
- Printing
- Printed on demand
Surrogate Model-Based Engineering Design and Optimization (Springer Tracts in Mechanical Engineering) in bulk: pricing
Volume pricing applies automatically in your cart. No codes, no account needed.
| Copies | Price per copy | You save |
|---|---|---|
| 25 – 49 | $193.59 | 12% off list |
| 50 – 99 | $191.39 | 13% off list |
| 100+ | $189.19 | 14% off list |
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