Bat-inspired algorithm (BA) is a robust swarm intelligence algorithm that finds success in
many problem domains. The ecosystem of bat animals inspires the main idea of BA. This …

In this paper, a review of Metaheuristic Optimization Techniques (MOT) which are currently
in use for optimization in a vast range of problems, is presented. MOT are known for their …

Data clustering is an important activity in the field of data analytics. It can be described as
unsupervised learning for grouping the similar objects into clusters. The similarity between …

The large-scale wind energy conversion systems (WECS) based on a doubly fed induction
generator (DFIG) have recently gained attention due to their numerous economic and …

This paper proposes a phase angle-modulated bat algorithm (P-AMBA) for high-
dimensional binary optimization. The idea was to reduce the optimization time by …

The most vital information about the electrical activities of the brain can be obtained with the
help of Electroencephalography (EEG) signals. It is quite a powerful tool to analyze the …

The built environment is a significant contributor to global energy consumption and
greenhouse gas emissions. Advancements in the adoption of environmentally friendly …

This study aims to improve the low-voltage ride-through (LVRT) capabilities of wind power
plants (WPPs) during various types of grid faults, such as line-to-ground (LG), double line-to …

In order to improve the problems of poor accuracy and low efficiency in tobacco leaves
disease recognition and diagnosis and avoid the misjudgment in tobacco disease …

Vehicular Ad Hoc Networks (VANETs) play a crucial role in Intelligent Transportation
Systems (ITS) by facilitating communication between vehicles and infrastructure. This …