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Surrogate model-based engineering de...

Jiang, Ping.

Surrogate model-based engineering design and optimization

Record Type:	Electronic resources : Monograph/item
Title/Author:	Surrogate model-based engineering design and optimizationby Ping Jiang, Qi Zhou, Xinyu Shao.
Author:	Jiang, Ping.
other author:	Zhou, Qi.
Published:	Singapore :Springer Singapore :2020.
Description:	ix, 240 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Engineering designMathematical models.
Online resource:	https://doi.org/10.1007/978-981-15-0731-1
ISBN:	9789811507311$q(electronic bk.)

Surrogate model-based engineering design and optimization
Jiang, Ping.

Surrogate model-based engineering design and optimization[electronic resource] /by Ping Jiang, Qi Zhou, Xinyu Shao. - Singapore :Springer Singapore :2020. - ix, 240 p. :ill. (some col.), digital ;24 cm. - Springer tracts in mechanical engineering,2195-9862. - Springer tracts in mechanical engineering..

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.

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.

ISBN: 9789811507311$q(electronic bk.)

Standard No.: 10.1007/978-981-15-0731-1doiSubjects--Topical Terms:

229232
Engineering design
--Mathematical models.

LC Class. No.: TA174

Dewey Class. No.: 620.0042015118

Surrogate model-based engineering design and optimization
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520 $a 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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