Multi-fidelity Surrogates Multi-fidelity Surrogates
Book 12 - Engineering Applications of Computational Methods

Multi-fidelity Surrogates

Modeling, Optimization and Applications

Qi Zhou and Others
    • 139,99 €
    • 139,99 €

Publisher 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.

GENRE
Professional & Technical
RELEASED
2022
7 November
LANGUAGE
EN
English
LENGTH
464
Pages
PUBLISHER
Springer Nature Singapore
SIZE
123.5
MB
Surrogate Model-Based Engineering Design and Optimization Surrogate Model-Based Engineering Design and Optimization
2019
Commercial Contract Law Commercial Contract Law
2013
Space–Time Conservation Element and Solution Element Method Space–Time Conservation Element and Solution Element Method
2023
Artificial Intelligence Enabled Computational Methods for Smart Grid Forecast and Dispatch Artificial Intelligence Enabled Computational Methods for Smart Grid Forecast and Dispatch
2023
Substructuring Method for Civil Structural Health Monitoring Substructuring Method for Civil Structural Health Monitoring
2023
New Paradigms in Flow Battery Modelling New Paradigms in Flow Battery Modelling
2023
Collaborative Optimization of Complex Energy Systems Collaborative Optimization of Complex Energy Systems
2023
Intelligence Optimization for Green Scheduling in Manufacturing Systems Intelligence Optimization for Green Scheduling in Manufacturing Systems
2023