Text Classification problem has been thoroughly studied in information retrieval problems
and data mining tasks. It is beneficial in multiple tasks including medical diagnose health …

The present paper introduces a new evolutionary algorithm to solve optimization issues
called the human felicity algorithm (HFA). The main idea of the HFA has been inspired the …

Abstract Accurate prediction of Public Transport (PT) mobility is important for intelligent
transportation. Nowadays, mobility data have become increasingly available with the …

Particle swarm optimization (PSO) algorithm is a population‐based intelligent stochastic
search technique used to search for food with the intrinsic manner of bee swarming. PSO is …

Bat algorithm (BA) has been widely used to solve the diverse kinds of optimisation problems.
In accordance with the optimisation problems, balance between the two major components …

Artificial neural networks (ANN) have been widely used in the field of data classification.
Normally, training of neural network is applied with the traditional back propagation …

Bat Algorithm (BA) has been extensively applied as an optimal Feature Selection (FS)
technique for solving a wide variety of optimization problems due to its impressive …

Wrapper Feature Selection (FS) methods based on the Binary Bat Algorithm (BBA) have
recently been employed in a variety of detection applications to determine the most relevant …

Due to the complexity and variety of textures on Strip steel, it is very difficult to detect defects
on rigid surfaces. This paper proposes a metal surface defect classification method based …

Artificial neural network (ANN) has a wide variety of practice for the solution of problems in
the area of data classification. Back propagation algorithm is a famous neural network (NN) …