Review of the metaheuristic algorithms in applications: Visual analysis based on bibliometrics (1994–2023)
G Li, T Zhang, CY Tsai, L Yao, Y Lu, J Tang - Expert Systems with …, 2024 - Elsevier
Metaheuristic algorithms have gradually become the mainstream way to solve complex
optimization problems with their streamlined structure and robust performance. Innovative …
optimization problems with their streamlined structure and robust performance. Innovative …
A comprehensive survey on aquila optimizer
Aquila Optimizer (AO) is a well-known nature-inspired optimization algorithm (NIOA) that
was created in 2021 based on the prey grabbing behavior of Aquila. AO is a population …
was created in 2021 based on the prey grabbing behavior of Aquila. AO is a population …
Advanced feature extraction and selection approach using deep learning and Aquila optimizer for IoT intrusion detection system
Develo** cyber security is very necessary and has attracted considerable attention from
academy and industry organizations worldwide. It is also very necessary to provide …
academy and industry organizations worldwide. It is also very necessary to provide …
Intrusion detection system for IoT based on deep learning and modified reptile search algorithm
This study proposes a novel framework to improve intrusion detection system (IDS)
performance based on the data collected from the Internet of things (IoT) environments. The …
performance based on the data collected from the Internet of things (IoT) environments. The …
Migration-based moth-flame optimization algorithm
Moth–flame optimization (MFO) is a prominent swarm intelligence algorithm that
demonstrates sufficient efficiency in tackling various optimization tasks. However, MFO …
demonstrates sufficient efficiency in tackling various optimization tasks. However, MFO …
[HTML][HTML] Modelling of thermo-hydraulic behavior of a helical heat exchanger using machine learning model and fire hawk optimizer
The study of the fluid flow in heat exchangers and its related mass and heat transfer
processes is a very complicated research subject. Modeling of coupled fluid flow and heat …
processes is a very complicated research subject. Modeling of coupled fluid flow and heat …
Artificial intelligence for forecasting the prevalence of COVID-19 pandemic: An overview
Since the discovery of COVID-19 at the end of 2019, a significant surge in forecasting
publications has been recorded. Both statistical and artificial intelligence (AI) approaches …
publications has been recorded. Both statistical and artificial intelligence (AI) approaches …
Enhanced aquila optimizer algorithm for global optimization and constrained engineering problems
H Yu, H Jia, J Zhou, A Hussien - Mathematical Biosciences and …, 2022 - diva-portal.org
The Aquila optimizer (AO) is a recently developed swarm algorithm that simulates the
hunting behavior of Aquila birds. In complex optimization problems, an AO may have slow …
hunting behavior of Aquila birds. In complex optimization problems, an AO may have slow …
A reinforcement learning-based hybrid Aquila Optimizer and improved Arithmetic Optimization Algorithm for global optimization
H Liu, X Zhang, H Zhang, C Li, Z Chen - Expert Systems with Applications, 2023 - Elsevier
This study constructs a reinforcement learning-based hybrid algorithm for Aquila Optimizer
(AO) and improved Arithmetic Optimization Algorithm (IAOA). The point of the hybrid …
(AO) and improved Arithmetic Optimization Algorithm (IAOA). The point of the hybrid …
Computer vision-based classification of concrete spall severity using metaheuristic-optimized extreme gradient boosting machine and deep convolutional neural …
This paper presents alternative solutions for classifying concrete spall severity based on
computer vision approaches. Extreme Gradient Boosting Machine (XGBoost) and Deep …
computer vision approaches. Extreme Gradient Boosting Machine (XGBoost) and Deep …