Advances in manta ray foraging optimization: A comprehensive survey
This paper comprehensively analyzes the Manta Ray Foraging Optimization (MRFO)
algorithm and its integration into diverse academic fields. Introduced in 2020, the MRFO …
algorithm and its integration into diverse academic fields. Introduced in 2020, the MRFO …
LCAHA: A hybrid artificial hummingbird algorithm with multi-strategy for engineering applications
Abstract The recently introduced Artificial Hummingbird Algorithm (AHA) exhibits competitive
performance in develo** optimization concerns. However, AHA has an imbalance …
performance in develo** optimization concerns. However, AHA has an imbalance …
A meta-heuristic multi-objective optimization method for Alzheimer's disease detection based on multi-modal data
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 …
people across the globe. Even though AD is one of the most commonly seen brain …
Artificial hummingbird algorithm: Theory, variants, analysis, applications, and performance evaluation
Abstract The Artificial Hummingbird Algorithm (AHA) is a metaheuristic optimization
technique inspired by the behaviours and foraging strategies of hummingbirds. Known for …
technique inspired by the behaviours and foraging strategies of hummingbirds. Known for …
An efficient task scheduling in fog computing using improved artificial hummingbird algorithm
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 …
recent years. Task scheduling reduces latency and application computation times, while …
[HTML][HTML] A modified artificial hummingbird algorithm for solving optimal power flow problem in power systems
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 …
makers to assign the best setting of the system components to obtain the most economic …
Enhancing swarm intelligence for obstacle avoidance with multi-strategy and improved dung beetle optimization algorithm in mobile robot navigation
L Li, L Liu, Y Shao, X Zhang, Y Chen, C Guo, H Nian - Electronics, 2023 - mdpi.com
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 …
widely used for optimization problems. However, the DBO algorithm has limitations in …
Binary hybrid artificial hummingbird with flower pollination algorithm for feature selection in parkinson's disease diagnosis
L Feng, Y Zhou, Q Luo - Journal of Bionic Engineering, 2024 - Springer
Parkinson's disease is a neurodegenerative disorder that inflicts irreversible damage on
humans. Some experimental data regarding Parkinson's patients are redundant and …
humans. Some experimental data regarding Parkinson's patients are redundant and …
Quantum artificial hummingbird algorithm for feature selection of social IoT
The Internet of Things (IoT) benefits from social networking platforms in establishing and
enhancing social-oriented services, information, and autonomous social relationships …
enhancing social-oriented services, information, and autonomous social relationships …
A Survey of Artificial Hummingbird Algorithm and Its Variants: Statistical Analysis, Performance Evaluation, and Structural Reviewing
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 …
dramatically in numerous and complex optimization problems. The artificial hummingbird …