Multi-fidelity Surrogates
Modeling, Optimization and Applications
Chapter and Conference Paper
The research objects of traditional trajectory prediction methods are mostly ballistic missiles. The active maneuverability of ballistic missiles is weak, so their trajectories have strong regularity and relat...
Article
Nickel nanoparticles supported on carbon cloth (NiNP/CC) were prepared via Pulsed Laser Deposition (PLD) with three different deposition time (20 s, 40 s and 60 s). The materials were tested as electrocatalyst...
Chapter and Conference Paper
Structural analysis and design optimization play a crucial role in engineering systems. However, the computational cost of high-fidelity (HF) simulation models, such as finite element analysis (FEA), poses a c...
Article
To investigate the optimal duration of applying a venous foot pump (VFP) in the prevention of venous thromboembolism (VTE) following hip and knee arthroplasty.
Chapter
Under a limited computational budget, the quality of a multi-fidelity (MF) surrogate depends on the distributions of the sample points and sample size ratio between the low-fidelity (LF) and high-fidelity (HF)...
Chapter
The structural reliability problem has received increasing attention with the increasing complexity of engineering structures. Failure probability is the main issue considered in structural reliability analyse...
Chapter
Evolution algorithms, such as multi-objective genetic algorithms (MOGAs), require a large number of function evaluations to converge to global optima or near-optimal solutions (Sun et al. in IEEE Trans Cybern ...
Book
Chapter
Physics-based simulation models from different disciplines are becoming indispensable in modern product design. In the preliminary design phase, these simulation models can help predict the performance of prod...
Chapter
The methods of constructing multi-fidelity (MF) surrogates can be divided into two categories: hierarchical and nonhierarchical methods. Several hierarchical methods have been described in Chap. 2
Chapter
As reported in the previous literature, multi-fidelity (MF) surrogate assisted design optimization techniques can be classified into two types: offline and online techniques. In the offline technique, a prespe...
Chapter
Engineering product design optimization inevitably involves uncertainties, which may degrade the objective performance or render the optimal solution infeasible. To alleviate the sensitivity of the performance...
Chapter
Multi-fidelity (MF) surrogates can balance the prediction accuracy and computational cost by augmenting a few expensive high-fidelity (HF) samples with many inexpensive low-fidelity (LF) data. Consequently, MF...
Chapter
Chapter 1 introduces the concept of multi-fidelity surrogates, providing the readers with a general understanding of what such surrogates are and their expected use case...
Chapter
Most of the existing multi-fidelity (MF) surrogates assume that high-fidelity (HF) models are generally more accurate than low-fidelity (LF) models but LF models are less expensive than HF models. In other wor...
Article
Article
Sleep spindles have been implicated in sleep protection, depression and anxiety. However, spindle-related brain imaging mechanism underpinning the deficient sleep protection and emotional regulation in insomni...
Article
Metal–organic frameworks (MOFs) have been widely used to remove organic/toxic compounds from waste water. Ciprofloxacin (CIP) has been detected in surface and waste water, which is harmful to aquatic organisms...