An overview of gradient-enhanced metamodels with applications
Metamodeling, the science of modeling functions observed at a finite number of points,
benefits from all auxiliary information it can account for. Function gradients are a common …
benefits from all auxiliary information it can account for. Function gradients are a common …
A surrogate-assisted multiswarm optimization algorithm for high-dimensional computationally expensive problems
This article presents a surrogate-assisted multiswarm optimization (SAMSO) algorithm for
high-dimensional computationally expensive problems. The proposed algorithm includes …
high-dimensional computationally expensive problems. The proposed algorithm includes …
A surrogate-assisted differential evolution algorithm for high-dimensional expensive optimization problems
The radial basis function (RBF) model and the Kriging model have been widely used in the
surrogate-assisted evolutionary algorithms (SAEAs). Based on their characteristics, a global …
surrogate-assisted evolutionary algorithms (SAEAs). Based on their characteristics, a global …
Surrogate-assisted differential evolution with adaptive multisubspace search for large-scale expensive optimization
Real-world industrial engineering optimization problems often have a large number of
decision variables. Most existing large-scale evolutionary algorithms (EAs) need a large …
decision variables. Most existing large-scale evolutionary algorithms (EAs) need a large …
Crashworthiness optimization of foam-filled tapered thin-walled structure using multiple surrogate models
Despite the rapid growth of computing power and continuing advancements in numerical
techniques, significant complexity exists when applying traditional sensitivity based …
techniques, significant complexity exists when applying traditional sensitivity based …
Comparative study of Kriging and support vector regression for structural engineering applications
Metamodeling techniques have been widely used as substitutes for high-fidelity and time-
consuming models in various engineering applications. Examples include polynomial chaos …
consuming models in various engineering applications. Examples include polynomial chaos …
[HTML][HTML] Towards intelligent design optimization: Progress and challenge of design optimization theories and technologies for plastic forming
Plastic forming is one of enabling and fundamental technologies in advanced manufacturing
chains. Design optimization is a critical way to improve the performance of the forming …
chains. Design optimization is a critical way to improve the performance of the forming …
A fast surrogate-assisted particle swarm optimization algorithm for computationally expensive problems
Although many surrogate-assisted evolutionary algorithms (SAEAs) have been proposed to
solve computationally expensive problems, they usually need to consume plenty of …
solve computationally expensive problems, they usually need to consume plenty of …
Ensemble of surrogates assisted particle swarm optimization of medium scale expensive problems
Surrogate-assisted evolutionary algorithms have been commonly used in extremely
expensive optimization problems. However, many existing algorithms are only effectively …
expensive optimization problems. However, many existing algorithms are only effectively …
Understanding the effect of hyperparameter optimization on machine learning models for structure design problems
To relieve the computational cost of design evaluations using expensive finite element (FE)
simulations, surrogate models have been widely applied in computer-aided engineering …
simulations, surrogate models have been widely applied in computer-aided engineering …