Multi-fidelity Surrogates Modeling, Optimization and Applications /

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. M...

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Hlavní autoři: Zhou, Qi (Autor), Zhao, Min (Autor), Hu, Jiexiang (Autor), Ma, Mengying (Autor)
Korporativní autor: SpringerLink (Online service)
Médium: Elektronický zdroj E-kniha
Jazyk:angličtina
Vydáno: Singapore : Springer Nature Singapore : Imprint: Springer, 2023.
Vydání:1st ed. 2023.
Edice:Engineering Applications of Computational Methods, 12
Témata:
On-line přístup:https://doi.org/10.1007/978-981-19-7210-2
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Obsah:
  • 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.