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Multi-fidelity Surrogates Modeling, Optimization and Applications
This book investigates two types of static multi-fidelity surrogates modeling approaches, sequential multi-fidelity surrogates modeling approaches,...
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A novel multi-fidelity cokriging model assisted by multiple non-hierarchical low-fidelity datasets
Multi-fidelity (MF) surrogate models for incorporating multiple non-hierarchical low-fidelity (LF) datasets, whose rank of fidelity level is unknown,...
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Multi-fidelity error-estimate-based model management
This paper presents a novel multi-fidelity model-management framework based on the estimated error between the low-fidelity and high-fidelity models....
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Hierarchical Multi-fidelity Surrogate Modeling
Most of the existing multi-fidelity (MF) surrogates assume that high-fidelity (HF) models are generally more accurate than low-fidelity (LF) models...
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Sequential Multi-fidelity Surrogate Modeling
Under a limited computational budget, the quality of a multi-fidelity (MF) surrogate depends on the distributions of the sample points and sample...
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Quantum circuit fidelity estimation using machine learning
The computational power of real-world quantum computers is limited by errors. When using quantum computers to perform algorithms which cannot be...
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Nonhierarchical Multi-fidelity Surrogate Modeling
The methods of constructing multi-fidelity (MF) surrogates can be divided into two categories: hierarchical and nonhierarchical methods. Several...
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Accelerated Feature-Based Local Optimization with Variable-Fidelity EM Simulations
This chapter discusses an approach to accelerated feature-based local optimization with the use of variable-fidelity EM simulation models. The...
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Multi-fidelity optimization of metal sheets concerning manufacturability in deep-drawing processes
Multi-fidelity optimization, which complements an expensive high-fidelity function with cheaper low-fidelity functions, has been successfully applied...
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A general multi-fidelity metamodeling framework for models with various output correlation
Multi-fidelity metamodeling methods have been widely utilized in the field of complex engineering design to trade off modeling efficiency against...
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Using Flight Test Measurements on a Low-Fidelity Component to Predict Response on a High-Fidelity Component
Measurements are often made during system field tests on a component of interest and the system. But the excitation forces are unknown. These tests...
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Applications of multi-fidelity multi-output Kriging to engineering design optimization
Surrogate modelling is a popular approach for reducing the number of high fidelity simulations required within an engineering design optimization....
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A nonlinearity integrated bi-fidelity surrogate model based on nonlinear map**
The variable-fidelity surrogate (VFS) modeling technique is a data fusion method used to enhance the prediction accuracy of less intensively sampled...
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A novel multi-fidelity surrogate modeling framework integrated with sequential sampling criterion for non-hierarchical data
Multi-fidelity surrogate model (MFSM) methods have attracted significant attention recently in the field of engineering design by combining the...
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Multi-fidelity Surrogate Modelling of Wall Mounted Cubes
This paper focuses on the application of multi-fidelity surrogate modelling to characteristics of a flow as it changes with a parameter. This...
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Alternative variable-fidelity acquisition functions for efficient global optimization of black-box functions
Surrogate-Based Optimization has been gaining significant interest in recent years due to its capability of performing optimization of expensive...
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A novel multi-fidelity neural network for response prediction using rotor dynamics and model reduction
Uncertainties in rotating machines are unavoidable, which affect their parameters and dynamic response. So, instead of employing deterministic...
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Dynamic Adaptive Variable-Fidelity Modeling Method for BGA Solder Joint Design
Currently, building variable-fidelity surrogate models and using dynamic adaptive sampling is becoming a hot research topic in the field of...
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An efficient latent map multi-fidelity Kriging model and adaptive point-selected strategy for reliability analysis with time-consuming simulations
Reliability analysis can be particularly challenging when performance functions require time-consuming simulations. Such simulations often involve...
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A proportional expected improvement criterion-based multi-fidelity sequential optimization method
Multi-fidelity surrogate models fusing data from different fidelity systems can significantly reduce the computational cost while ensuring the model...
