Exact optimization algorithms are not able to provide an appropriate solution in solving
optimization problems with a high-dimensional search space. In these problems, the search …

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 …

Advancements in medical technology have created numerous large datasets including
many features. Usually, all captured features are not necessary, and there are redundant …

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) …

Since most metaheuristic algorithms for continuous search space have been developed, a
number of transfer functions have been proposed including S-shaped, V-shaped, linear, U …

The feature selection problem is one of the pre-processing mechanisms to find the optimal
subset of features from a dataset. The search space of the problem will exponentially grow …

Depression is a mental disorder with emotional and cognitive dysfunction. The main clinical
characteristic of depression is significant and persistent low mood. As reported, depression …

Feature selection (FS) was regarded as a global combinatorial optimization problem. FS is
used to simplify and enhance the quality of high-dimensional datasets by selecting …

Abstract The Reptile Search Algorithm (RSA), inspired by crocodiles' hunting behavior, is a
recently introduced nature-inspired algorithm. Although the original version of the RSA …

Intrusion detection systems (IDSs) play an important role in the security of computer
networks. One of the main challenges in IDSs is the high-dimensional input data analysis …