In this paper, an adaptive surrogate-assisted MOEA/D framework (ASA-MOEA/D) is
proposed for solving computationally expensive constrained multi-objective optimization …

Computational multiscale methods for analyzing and deriving constitutive responses have
been used as a tool in engineering problems because of their ability to combine information …

Micro gas turbines are inevitably subject to geometric and operational uncertainties, which
are increasingly detrimental to aerodynamic performance and reliability. However, the effect …

In this paper, according to the Kriging based reliability analysis method, an efficient
sequential sampling method combined with radial basis function is proposed to reduce the …

Dynamic systems modeled by computationally intensive numerical models with time-
dependent output are common in engineering. Efficient uncertainty propagation of such …

This paper presents a novel infill-sampling strategy for adaptive gradient-enhanced Kriging
(AGEK) that delivers superior results on a limited budget. The primary innovation of this …

The multi-output Gaussian process (MOGP) modeling approach is a promising way to deal
with multiple correlated outputs since it can capture useful information across outputs to …

This paper explores the use of Gradient-enhanced Kriging for optimization of expensive
black-box design problems, which is not completely limited by the conventional Efficient …

Bayesian optimization (BO) is popular for a analog circuit sizing problem recently. However,
BO can only work well in small-scale circuit. Scaling BO to common circuit optimization …

Aerodynamic robustness optimization of centrifugal compressor impeller under multiple
uncertainties is an arduous task, due to high dimension, meta modelling workload and trial …