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Surrogate model-based engineering design and optimization
- 作者: Jiang, Ping, author.
- 其他作者:
- 其他題名:
- Springer tracts in mechanical engineering.
- 出版: Singapore : Springer Singapore :Imprint: Springer
- 叢書名: Springer tracts in mechanical engineering,
- 主題: Engineering design--Mathematical models. , Engineering Design. , Engineering Mathematics. , Manufacturing, Machines, Tools, Processes.
- ISBN: 9789811507311 (electronic bk.) 、 9789811507304 (paper)
- FIND@SFXID: CGU
- 資料類型: 電子書
- 內容註: Introduction -- Classic types of surrogate model -- Ensemble of surrogate models -- Multi-fidelity surrogate model -- Verification methods for surrogate model -- Sampling approaches -- Surrogate model-based design optimization -- Conclusions.
- 摘要註: 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.
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讀者標籤:
- 系統號: 005477653 | 機讀編目格式