Meta-heuristic algorithms have been widely used to solve different optimization problems.
There have always been ongoing efforts to develop new and efficient algorithms. In this …

Chimp optimization algorithm (ChOA) is a newly proposed meta-heuristic algorithm inspired
by chimps' individual intelligence and sexual motivation in their group hunting. The …

The optimal power flow (OPF) is a practical problem in a power system with complex
characteristics such as a large number of control parameters and also multi-modal and non …

Microelectromechanical systems (MEMS) accelerometers have been considerably
developed since their wide use in current industrial applications. MEMS resonant …

The Internet of Things (IoT) has become one of the most important concepts in various
aspects of our modern life in recent years. However, the most critical challenge for the world …

The durability of rocks is a substantial rock property that has to be considered for designing
geotechnical structures. Uniaxial compressive strength (UCS) and Young's modulus (E) are …

The increased volume of medical datasets has produced high dimensional features,
negatively affecting machine learning (ML) classifiers. In ML, the feature selection process is …

Removing redundant features and improving classifier performance necessitates the use of
meta-heuristic and deep learning (DL) algorithms in feature selection and classification …

In data mining, feature selection (FS) has become a significant data pre-processing tool that
maximises the model's generalisation and minimises the feature size. Due to the large …

Particle swarm optimization (PSO) is a computational method that emerged recently based
on swarm intelligence techniques for resolving optimization complications. The popularity …