Efficient Global Optimization of Multidisciplinary System using Variable Fidelity Analysis and Dynamic Sampling Method

Efficient Global Optimization of Multidisciplinary System using Variable Fidelity Analysis and Dynamic Sampling Method

Work in this dissertation is motivated by reducing the design cost at the early design stage while maintaining high design accuracy throughout all design stages. It presents four key design methods to improve the performance of Efficient Global Optimization for multidisciplinary problems. First, a f...

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Bibliographic Details
Main Author: Park, Jangho
Other Authors: Aerospace and Ocean Engineering
Format: Others
Published: Virginia Tech 2019
Subjects:
Efficient Global Optimization(EGO)
Variable-Fidelity(VF) Analysis
Data mining
Gaussian Process Regression(GPR) modeling
Design of Experiment(DoE)
Online Access:http://hdl.handle.net/10919/91911

Internet

http://hdl.handle.net/10919/91911

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