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Multi-fidelity Surrogates: Modeling, Optimization and Applications - Min Zhao,Jiexiang Hu,Qi Zhou,Mengying Ma

English
2023-11-09
€219.90 €314.14

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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 optim ... Full description

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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.

More Information

Author Min Zhao, Jiexiang Hu, Qi Zhou, Mengying Ma
Publisher Springer Nature Singapore
Series Engineering Applications of Computational Methods
Release year 2023
Cover type Softcover
EAN 9789811972126
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€219.90 €314.14