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 …

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 …

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) …

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 …

To reduce the dimensionality of high-dimensional data and enhance its classification
accuracy, feature selection can be regarded as a multiobjective optimization problem that …

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 …

The recently proposed swarm intelligence algorithm, Runge–Kutta Optimization (RUN), is
rooted in the fourth-order Runge–Kutta method. Compared with its counterparts, RUN …

The performance of differential evolution (DE) significantly depends on the settings of
mutation strategies and control parameters. Inappropriate settings may cause an imbalance …

Differential evolution (DE) is an intelligent optimization algorithm inspired by biological
evolution. Setting a mutation strategy and control parameters that meet the optimization …