Flower pollination algorithm (FPA) is a computational intelligence metaheuristic that takes its
metaphor from flowers proliferation role in plants. This paper provides a comprehensive …

The flower pollination algorithm (FPA) is a nature-inspired algorithm that imitates the
pollination behavior of flowering plants. Optimal plant reproduction strategy involves the …

Nature-inspired algorithms, especially those based on swarm intelligence, have been
successfully applied to solve a variety of optimization problems in real-world applications …

Brainwaves, which reflect brain electrical activity and have been studied for a long time in
the domain of cognitive neuroscience, have recently been proposed as a promising …

This article presents a comprehensively state-of-the-art investigation of the engineering
applications utilized by binary metaheuristic algorithms. Surveyed work is categorized based …

Early diagnosis of Alzheimer's disease (AD) is a proceeding hot issue along with a sharp
upward trend in the incidence rate. Recently, early diagnosis of AD employing …

Recently, electroencephalogram (EEG) signal presents a great potential for a new biometric
system to deal with a cognitive task. Several studies defined the EEG with uniqueness …

Background. The most common and successful technique for signal denoising with
nonstationary signals, such as electroencephalogram (EEG) and electrocardiogram (ECG) …

Health data are being increasingly sensed from the health-based wearable Internet of
Things (IoT) devices, providing much-needed fitness and health tracking. However, data …

Many optimization problems in science and engineering are challenging to solve, and the
current trend is to use swarm intelligence (SI) and SI-based algorithms to tackle such …