Job shop scheduling (JSS) is a process of optimizing the use of limited resources to improve
the production efficiency. JSS has a wide range of applications, such as order picking in the …

Many industrial applications require time-consuming and resource-intensive evaluations of
suitable solutions within very limited time frames. Therefore, many surrogate-assisted …

Abstract Radial Basis Function neural networks (RBFNNs) represent an attractive alternative
to other neural network models. One reason is that they form a unifying link between function …

Model management plays an essential role in surrogate-assisted evolutionary optimization
of expensive problems, since the strategy for selecting individuals for fitness evaluation …

Considering the bias of the dynamics which is a global trend of the dynamical equation of a
robot manipulator because of the gravity or the constant payloads, two kinds of adaptive bias …

Conventional model-based data processing methods are computationally expensive and
require experts' knowledge for the modelling of a system. Neural networks are a model-free …

A new class of wavelet networks (WNs) is proposed for nonlinear system identification. In the
new networks, the model structure for a high-dimensional system is chosen to be a …

Evolutionary algorithms have been successfully used in many studies to design accurate
and interpretable fuzzy systems under the name of genetic fuzzy systems. Recently …

This paper presents a flexible structure Radial Basis Function (RBF) neural network (FS-
RBFNN) and its application to water quality prediction. The FS-RBFNN can vary its structure …

OBJECTIVE: To test whether deficits in executive function and delay aversion make
independent contributions to levels of attention-deficit/hyperactivity disorder (ADHD) …