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Surrogate Model-Based Engineering Design and Optimization

  • Ping Jiang
  • Qi Zhou
  • Xinyu Shao
Book

Part of the Springer Tracts in Mechanical Engineering book series (STME)

Table of contents

  1. Front Matter
    Pages i-ix
  2. Ping Jiang, Qi Zhou, Xinyu Shao
    Pages 1-5
  3. Ping Jiang, Qi Zhou, Xinyu Shao
    Pages 7-34
  4. Ping Jiang, Qi Zhou, Xinyu Shao
    Pages 35-53
  5. Ping Jiang, Qi Zhou, Xinyu Shao
    Pages 55-87
  6. Ping Jiang, Qi Zhou, Xinyu Shao
    Pages 89-113
  7. Ping Jiang, Qi Zhou, Xinyu Shao
    Pages 115-134
  8. Ping Jiang, Qi Zhou, Xinyu Shao
    Pages 135-236
  9. Ping Jiang, Qi Zhou, Xinyu Shao
    Pages 237-240

About this book

Introduction

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.


Keywords

Multi-fidelity Surrogate Model Ensemble of Surrogate Model Ensemble of Surrogate Model Efficient Global Optimization Surrogate Model Based Robust Optimization Surrogate Model Assisted Evolutionary Computing

Authors and affiliations

  • Ping Jiang
    • 1
  • Qi Zhou
    • 2
  • Xinyu Shao
    • 3
  1. 1.The State Key Laboratory of Digital Manufacturing Equipment and Technology, School of Mechanical Science and EngineeringHuazhong University of Science and TechnologyWuhanChina
  2. 2.School of Aerospace EngineeringHuazhong University of Science and TechnologyWuhanChina
  3. 3.The State Key Laboratory of Digital Manufacturing Equipment and Technology, School of Mechanical Science and EngineeringHuazhong University of Science and TechnologyWuhanChina

Bibliographic information

  • DOI https://doi.org/10.1007/978-981-15-0731-1
  • Copyright Information Springer Nature Singapore Pte Ltd. 2020
  • Publisher Name Springer, Singapore
  • eBook Packages Engineering
  • Print ISBN 978-981-15-0730-4
  • Online ISBN 978-981-15-0731-1
  • Series Print ISSN 2195-9862
  • Series Online ISSN 2195-9870
  • Buy this book on publisher's site
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