This paper comprehensively analyzes the Manta Ray Foraging Optimization (MRFO)
algorithm and its integration into diverse academic fields. Introduced in 2020, the MRFO …

Abstract The recently introduced Artificial Hummingbird Algorithm (AHA) exhibits competitive
performance in developing optimization concerns. However, AHA has an imbalance …

Alzheimer's disease (AD) is a neurodegenerative disease that affects a large number of
people across the globe. Even though AD is one of the most commonly seen brain …

IoT edge devices have become more popular due to the rapid growth in IoT applications in
recent years. Task scheduling reduces latency and application computation times, while …

In the last few decades, metaheuristic algorithms that use the laws of nature have been used
dramatically in numerous and complex optimization problems. The artificial hummingbird …

Optimal power flow (OPF) problem solution is a crucial task for the operators and decision
makers to assign the best setting of the system components to obtain the most economic …

The Dung Beetle Optimization (DBO) algorithm is a powerful metaheuristic algorithm that is
widely used for optimization problems. However, the DBO algorithm has limitations in …

Parkinson's disease is a neurodegenerative disorder that inflicts irreversible damage on
humans. Some experimental data regarding Parkinson's patients are redundant and …

The Internet of Things (IoT) benefits from social networking platforms in establishing and
enhancing social-oriented services, information, and autonomous social relationships …

The artificial hummingbird algorithm (AHA) is a recently introduced versatile metaheuristic
optimizer that simulates flight patterns and intelligent foraging skills of hummingbirds. It has …