Abstract Whale Optimization Algorithm (WOA) is an optimization algorithm developed by
Mirjalili and Lewis in 2016. An overview of WOA is described in this paper, rooted from the …

Whale optimization algorithm (WOA) is a recently developed swarm-based meta-heuristic
algorithm that is based on the bubble-net hunting maneuver technique—of humpback …

The rapid development of Internet of Things (IoT)-based applications and the era of 5G
networks has led to an exponential increase in the amount of data required for processing …

Many countries are challenged by the medical resources required for COVID-19 detection
which necessitates the development of a low-cost, rapid tool to detect and diagnose the …

Solar cells are considered as a clean source of energy, and their application includes
industrial and domestic users. Most of the algorithms used to design solar cells are tested …

To help individuals or companies make a systematic and more accurate decisions,
sentiment analysis (SA) is used to evaluate the polarity of reviews. In SA, feature selection …

Abstract 3D mesh subdivision is essential for geometry modeling of complex surfaces, which
benefits many important applications in the fields of multimedia such as computer animation …

Medical imaging techniques play a critical role in diagnosing diseases and patient
healthcare. They help in treatment, diagnosis, and early detection. Image segmentation is …

The whale optimization algorithm (WOA) is a nature‐inspired metaheuristic optimization
algorithm, which was proposed by Mirjalili and Lewis in 2016. This algorithm has shown its …

Whale optimization algorithm (WOA) tends to fall into the local optimum and fails to converge
quickly in solving complex problems. To address the shortcomings, an improved WOA …