The slime mould algorithm (SMA) is a population-based optimization algorithm that mimics
the foraging behavior of slime moulds with a simple structure and few hyperparameters …

Abstract Intrusion Detection Systems (IDSs) have become essential to the sound operations
of networks. These systems have the potential to identify and report deviations from normal …

The “curse of dimensionality” and the high computational cost have still limited the
application of the evolutionary algorithm in high-dimensional feature selection (FS) …

Feature selection is an important data processing method to reduce dimension of the raw
datasets while preserving the information as much as possible. In this paper, an enhanced …

The selection of the mutation strategy for differential evolution (DE) algorithm plays an
important role in the optimization performance, such as exploration ability, convergence …

Adam is an adaptive gradient descent approach that is commonly used in back-propagation
(BP) algorithms for training feed-forward neural networks (FFNNs). However, it has the …

Availability of suitable and validated data is a key issue in multiple domains for
implementing machine learning methods. Higher data dimensionality has adverse effects on …

Feature selection is a key pre-processing technique for classification which aims at
removing irrelevant or redundant features from a given dataset. Generally speaking, feature …

In this article, a new feature selection (FS) algorithm, called simple, fast, and efficient (SFE),
is proposed for high-dimensional datasets. The SFE algorithm performs its search process …

In the present era, human brain tumor is the extremist dangerous and devil to the human
being that leads to certain death. Furthermore, the brain tumor arises more complexity of …