The whale optimization algorithm (WOA) is a prominent problem solver which is broadly
applied to solve NP-hard problems such as feature selection. However, it and most of its …

Optimization problems can be seen in numerous fields of practical studies. One area making
waves in the application of optimization methods is data mining in machine learning. An …

The credit risk prediction technique is an indispensable financial tool for measuring the
default probability of credit applicants. With the rapid development of machine learning and …

With the increase of the number of features and the sample size, existing feature selection
(FS) methods based on evolutionary optimization still face challenges such as the “curse of …

By identifying relevant features from the original data, feature selection methods can
maintain or improve the classification accuracy and reduce the dimensionality. Recently …

Aiming at the limitations of carbon price point forecasting, we propose a novel integrated
approach of binary empirical mode decomposition (BEMD), differential evolution (DE) …

Path planning is a crucial process for unmanned aerial vehicles (UAVs) and involves finding
a path that is both short and safe. However, with the ever-increasing complexity of the …

Abstract Decryption of Motor Imagery (MI) activity from an Electroencephalogram (EEG) data
is a significant part of the Brain-Computer Interface (BCI) technology that allows motor …

Evolutionary computation is promising in tackling with the feature selection problem, but still
has poor performance in obtaining good feature subset in high-dimensional problems. In …

The classical genetic algorithm utilizes random population initialization, an unguided
crossover operator, and an unguided mutation operator for feature selection. However, this …