This survey is an effort to provide a research repository and a useful reference for
researchers to guide them when planning to develop new Nature-inspired Algorithms …

Featured Application The paper analyzes the usage and mechanisms of feature selection
methods that are based on swarm intelligence in different application areas. Abstract The …

One of the major problems in Big Data is a large number of features or dimensions, which
causes the issue of “the curse of dimensionality” when applying machine learning …

Feature selection is one of the most efficient procedures for reducing the dimensionality of
high-dimensional data by choosing a practical subset of features. Since labeled samples are …

In this work, a novel binary version of the grey wolf optimization (GWO) is proposed and
used to select optimal feature subset for classification purposes. Grey wolf optimizer (GWO) …

The development of the computer-aided detection system placed an important role in the
clinical analysis for making the decision about the human disease. Among the various …

Feature selection aims to find the most important information from a given set of features. As
this task can be seen as an optimization problem, the combinatorial growth of the possible …

Abstract Machine learning techniques can be used in diagnosis of breast cancer to help
pathologists and physicians for decision making process. Kernel density estimation is a …

In this paper, we propose a new hybrid ant colony optimization (ACO) algorithm for feature
selection (FS), called ACOFS, using a neural network. A key aspect of this algorithm is the …

The telecommunications industry is greatly concerned about customer churn due to
dissatisfaction with service. This industry has started investing in the development of …