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Multi-fidelity Surrogates: Modeling, Optimization and Applications

-15% su kodu: ENG15
244,77 
Įprasta kaina: 287,96 
-15% su kodu: ENG15
Kupono kodas: ENG15
Akcija baigiasi: 2025-03-03
-15% su kodu: ENG15
244,77 
Įprasta kaina: 287,96 
-15% su kodu: ENG15
Kupono kodas: ENG15
Akcija baigiasi: 2025-03-03
-15% su kodu: ENG15
2025-02-28 287.9600 InStock
Nemokamas pristatymas į paštomatus per 11-15 darbo dienų užsakymams nuo 20,00 

Knygos aprašymas

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.

Informacija

Autorius: Qi Zhou, Mengying Ma, Jiexiang Hu, Min Zhao,
Serija: Engineering Applications of Computational Methods
Leidėjas: Springer Nature Singapore
Išleidimo metai: 2022
Knygos puslapių skaičius: 464
ISBN-10: 9811972095
ISBN-13: 9789811972096
Formatas: 241 x 160 x 29 mm. Knyga kietu viršeliu
Kalba: Anglų

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