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Multi-fidelity Surrogates: Modeling, Optimization and...

Multi-fidelity Surrogates: Modeling, Optimization and Applications

Qi Zhou, Min Zhao, Jiexiang Hu, Mengying Ma
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దింపుకొన్న ఫైల్ నాణ్యత ఏమిటి?
పుస్తక నాణ్యత అంచనా వేయడాలనుకుంటే దీన్ని దింపుకోండి
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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 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.


వర్గాలు:
సంపుటి:
12
సంవత్సరం:
2022
ప్రచురణకర్త:
Springer
భాష:
english
పేజీల సంఖ్య:
460
ISBN 10:
9811972095
ISBN 13:
9789811972096
పుస్తక శ్రేణి:
Engineering Applications of Computational Methods
ఫైల్:
PDF, 19.10 MB
IPFS:
CID , CID Blake2b
english, 2022
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