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Title
Multi-fidelity surrogates : modeling, optimization and applications / Qi Zhou, Min Zhao, Jiexiang Hu, Mengying Ma.
ISBN
9789811972102 (electronic bk.)
9811972109 (electronic bk.)
9789811972096
Published
Singapore : Springer, [2023]
Language
English
Description
1 online resource (viii, 456 pages) : illustrations (some color).
Other Standard Identifiers
10.1007/978-981-19-7210-2 doi
Call Number
TA174
Dewey Decimal Classification
620.0042
Summary
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.
Bibliography, etc. Note
Includes bibliographical references.
Access Note
Access limited to authorized users.
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed November 9, 2022).
Series
Engineering Applications of Computational Methods, 2662-3374 v. 12
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.
