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 Optimization Methods for Production and Injection Well Placement in Hydrocarbon Reservoirs
Well placement optimization is a crucial issue in the oil and gas industry, aiming to enhance
efficiency and reduce costs. In this study, we investigate research conducted on optimizing …
efficiency and reduce costs. In this study, we investigate research conducted on optimizing …
CGJO: a novel complex-valued encoding golden jackal optimization
J Zhang, G Zhang, M Kong, T Zhang, D Wang - Scientific Reports, 2024 - nature.com
Golden jackal optimization (GJO) is inspired by mundane characteristics and collaborative
hunting behaviour, which mimics foraging, trespassing and encompassing, and capturing …
hunting behaviour, which mimics foraging, trespassing and encompassing, and capturing …
[HTML][HTML] Chaotic Aquila Optimization algorithm for solving global optimization and engineering problems
Abstract The Aquila Optimization (AO) algorithm is a newly established swarm-based
method that mimics the hunting behavior of Aquila birds in nature. However, in complex …
method that mimics the hunting behavior of Aquila birds in nature. However, in complex …
A hybridizing-enhanced differential evolution for optimization
Differential evolution (DE) belongs to the most usable optimization algorithms, presented in
many improved and modern versions in recent years. Generally, the low convergence rate is …
many improved and modern versions in recent years. Generally, the low convergence rate is …
[HTML][HTML] A hybrid nonlinear whale optimization algorithm with sine cosine for global optimization
Y Xu, J Zhang - Biomimetics, 2024 - mdpi.com
The whale optimization algorithm (WOA) is constructed on a whale's bubble-net scavenging
pattern and emulates encompassing prey, bubble-net devouring prey, and stochastic …
pattern and emulates encompassing prey, bubble-net devouring prey, and stochastic …
Ideal solution candidate search for starling murmuration optimizer and its applications on global optimization and engineering problems
SB Aydemir - The Journal of Supercomputing, 2024 - Springer
In this article, a novel population selection method, fitness distance balance (FDB), and
predictive candidate (PC) solution generation hybridization with starling murmuration …
predictive candidate (PC) solution generation hybridization with starling murmuration …
New chaos-integrated improved grey wolf optimization based models for automatic detection of depression in online social media and networks
S Akyol - PeerJ Computer Science, 2023 - peerj.com
Depression is a psychological effect of the modern lifestyle on people's thoughts. It is a
serious individual and social health problem due to the risk of suicide and loss of workforce …
serious individual and social health problem due to the risk of suicide and loss of workforce …
Adaptive Aquila Optimizer combining niche thought with dispersed chaotic swarm
Y Zhang, X Xu, N Zhang, K Zhang, W Dong, X Li - Sensors, 2023 - mdpi.com
The Aquila Optimizer (AO) is a new bio-inspired meta-heuristic algorithm inspired by
Aquila's hunting behavior. Adaptive Aquila Optimizer Combining Niche Thought with …
Aquila's hunting behavior. Adaptive Aquila Optimizer Combining Niche Thought with …
[HTML][HTML] A comparative analysis of preying behavior-based metaheuristic algorithms for optimization of laser beam drilling processes
D Pendokhare, S Chakraborty - Decision Analytics Journal, 2024 - Elsevier
Increasing demand for miniaturized components as micro-holes with diameters ranging from
a few microns to hundreds of microns used in automobile, aviation, electronics, and medical …
a few microns to hundreds of microns used in automobile, aviation, electronics, and medical …