[HTML][HTML] 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 …
A review of biowaste remediation and valorization for environmental sustainability: Artificial intelligence approach
Biowaste remediation and valorization for environmental sustainability focuses on
prevention rather than cleanup of waste generation by applying the fundamental recovery …
prevention rather than cleanup of waste generation by applying the fundamental recovery …
A multi-strategy particle swarm algorithm with exponential noise and fitness-distance balance method for low-altitude penetration in secure space
UAV technology is at the forefront of current research and plays an important role in
agriculture, public safety and the military. Low altitude trajectory is a technology for UAVs to …
agriculture, public safety and the military. Low altitude trajectory is a technology for UAVs to …
[HTML][HTML] Chaotic sand cat swarm optimization
In this study, a new hybrid metaheuristic algorithm named Chaotic Sand Cat Swarm
Optimization (CSCSO) is proposed for constrained and complex optimization problems. This …
Optimization (CSCSO) is proposed for constrained and complex optimization problems. This …
[HTML][HTML] Unlocking the ocean 6G: a review of path-planning techniques for maritime data harvesting assisted by autonomous marine vehicles
L Zhao, Y Bai - Journal of Marine Science and Engineering, 2024 - mdpi.com
Seamless integration of both terrestrial and non-terrestrial networks is crucial to providing
full-dimensional wireless and ubiquitous coverage, particularly catering to those engaged in …
full-dimensional wireless and ubiquitous coverage, particularly catering to those engaged in …
[HTML][HTML] A quasi-oppositional learning of updating quantum state and Q-learning based on the dung beetle algorithm for global optimization
Z Wang, L Huang, S Yang, D Li, D He… - Alexandria Engineering …, 2023 - Elsevier
There are many tricky optimization problems in real life, and metaheuristic algorithms are the
most effective way to solve optimization problems at a lower cost. The dung beetle …
most effective way to solve optimization problems at a lower cost. The dung beetle …
[HTML][HTML] Meta-heuristic algorithms in UAV path planning optimization: A systematic review (2018–2022)
M Hooshyar, YM Huang - Drones, 2023 - mdpi.com
Unmanned Aerial Vehicles (UAVs), a subset of aerial robots, play crucial roles in various
domains, such as disaster management, agriculture, and healthcare. Their application …
domains, such as disaster management, agriculture, and healthcare. Their application …
Memory guided Aquila optimization algorithm with controlled search mechanism for seismicity analysis of earthquake prone regions
De-clustering the seismic catalog is one of the crucial processes in determining the
probability of exceeding ground motions at particular locations. Removing dependent …
probability of exceeding ground motions at particular locations. Removing dependent …
An enhanced African vulture optimization algorithm for solving the unmanned aerial vehicles path planning problem
In recent years, research on Unmanned Aerial Vehicles has become one of the most
interesting topics for industry and academics. UAVs path planning is one of the most …
interesting topics for industry and academics. UAVs path planning is one of the most …
Hybrid binary grey wolf naked mole-rat algorithm for fragment-type UWB antenna optimization using time-varying transfer functions
This paper introduces a novel hybrid binary variant of the Grey Wolf Optimizer (GWO) and
the Naked Mole-Rat Algorithm (NMRA), called HbGNMR. The primary objective of this …
the Naked Mole-Rat Algorithm (NMRA), called HbGNMR. The primary objective of this …