Multi-fidelity Surrogates : Modeling, Optimization and Applications

個数:1
紙書籍版価格
¥45,052
  • 電子書籍
  • ポイントキャンペーン

Multi-fidelity Surrogates : Modeling, Optimization and Applications

  • 著者名:Zhou, Qi/Zhao, Min/Hu, Jiexiang/Ma, Mengying
  • 価格 ¥32,557 (本体¥29,598)
  • Springer(2022/11/07発売)
  • 新生活を応援!Kinoppy 電子書籍・電子洋書 全点ポイント25倍キャンペーン(~4/5)
  • ポイント 7,375pt (実際に付与されるポイントはご注文内容確認画面でご確認下さい)
  • 言語:ENG
  • ISBN:9789811972096
  • eISBN:9789811972102

ファイル: /

Description

This book investigates two types of static multi-fidelity surrogates modeling approaches, sequential multi-fidelity surrogates modeling approaches, the multi-fidelity surrogates-assisted efficient global optimization, reliability analysis, robust design optimization, and evolutionary optimization. Multi-fidelity surrogates have attracted a significant amount of attention in simulation-based design and optimization in recent years. Some real-life engineering design problems, such as prediction of angular distortion in the laser welding, optimization design of micro-aerial vehicle fuselage, and optimization design of metamaterial vibration isolator, are also provided to illustrate the ability and merits of multi-fidelity surrogates in support of engineering design. Specifically, lots of illustrative examples are adopted throughout the book to help explain the approaches in a more “hands-on” manner. This book is a useful reference for postgraduates and researchers of mechanical engineering, as well as engineers of enterprises in related fields.


Table of Contents

​Preface.- Chapter 1 Introduction.- Chapter 2 Hierarchical multi-fidelity surrogates modeling.- Chapter 3 Non-Hierarchical multi-fidelity surrogates modeling.- Chapter 4 Sequential multi-fidelity surrogates modeling.- Chapter 5 Multi-fidelity surrogates assisted efficient global optimization.- Chapter 6 Multi-fidelity surrogates assisted reliability design optimization.- Chapter 7 Multi-fidelity surrogates assisted robust design optimization.- Chapter 8 Multi-fidelity surrogates assisted evolutional optimization.- Chapter 9 Engineering Applications.- Chapter 10 Concluding remarks.

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