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: | , , , |
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| Korporativní autor: | |
| Médium: | Elektronický zdroj E-kniha |
| Jazyk: | angličtina |
| Vydáno: |
Singapore :
Springer Nature Singapore : Imprint: Springer,
2023.
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| 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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| Shrnutí: | 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. |
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| Fyzický popis: | 1 online resource (VIII, 456 p. 263 illus.). 225 illus. in color. |
| ISBN: | 9789811972102 |
| ISSN: | 2662-3374 ; |
| DOI: | 10.1007/978-981-19-7210-2 |