Multi-fidelity Surrogates
Modeling, Optimization and Applications
Article
Practical engineering problems are often involved multiple computationally expensive objectives. A promising strategy to alleviate the computational cost is the variable-fidelity metamodel-based multi-objectiv...
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
The design optimization of periodic lattice cellular structure relying exclusively on the computational simulation model is a time-consuming, even computationally prohibitive process. To relieve the computatio...
Article
Multi-fidelity (MF) surrogate models have been widely used in engineering optimization problems to reduce the design cost by replacing computat ional expensive simulations. Ignoring the prediction uncertainty ...
Article
As a rapid develo** additive manufacturing (AM) technology, selective laser melting (SLM) provides a promising way for intelligent manufacturing. The SLM part quality depends largely on the process parameter...
Article
Multi-fidelity (MF) surrogate models have been widely adopted in simulation-based engineering design problems to reduce the computational cost by fusing data with diverse fidelity levels. Most of the MF modeli...
Article
Multi-fidelity (MF) surrogate model-based robust optimization has been used to deal with engineering design and optimization problems that have uncertainty in their inputs. However, the MF surrogate model cons...
Article
In this study, Kriging based multi-fidelity (MF) surrogate models are constructed to accelerate the fatigue analysis of welded joints. The influence of leg length, leg height, the width of the specimen, and lo...
Article
Model validation methods have been widely used in engineering design to evaluate the accuracy and reliability of simulation models with uncertain inputs. Most of the existing validation methods for aleatory an...
Article
Variable-fidelity (VF) surrogate models have attracted significant attention recently in simulation-based design because they can achieve a desirable accuracy at a reasonable cost by making use of the data fro...