A comprehensive study on modern optimization techniques for engineering applications
S Selvarajan - Artificial Intelligence Review, 2024 - Springer
Rapid industrialization has fueled the need for effective optimization solutions, which has led
to the widespread use of meta-heuristic algorithms. Among the repertoire of over 600, over …
to the widespread use of meta-heuristic algorithms. Among the repertoire of over 600, over …
Enhanced multi-layer perceptron for CO2 emission prediction with worst moth disrupted moth fly optimization (WMFO)
This study introduces the Worst Moth Disruption Strategy (WMFO) to enhance the Moth Fly
Optimization (MFO) algorithm, specifically addressing challenges related to population …
Optimization (MFO) algorithm, specifically addressing challenges related to population …
An improved grey wolf optimization algorithm based on scale-free network topology
J Zhang, Y Dai, Q Shi - Heliyon, 2024 - cell.com
The grey wolf optimizer is a novel intelligent optimization algorithm that has become popular
due to its low number of parameters, fast convergence speed, and simplicity. However, the …
due to its low number of parameters, fast convergence speed, and simplicity. However, the …
Refinement of dynamic hunting leadership algorithm for enhanced numerical optimization
A recently created optimization algorithm named the Dynamic Hunting Leadership (DHL)
algorithm was inspired by the leadership tactics used in hunting operations. The foundation …
algorithm was inspired by the leadership tactics used in hunting operations. The foundation …
[HTML][HTML] Grey Wolf Optimization algorithm with random local optimal regulation and first-element dominance
X Yanzhuang, X Shibin - Egyptian Informatics Journal, 2024 - Elsevier
Due to the classical Grey Wolf algorithm GWO does not consider the characteristics of the
local information of individual in population, a novel local random optimization strategy is …
local information of individual in population, a novel local random optimization strategy is …
Improved exponential distribution optimizer: enhancing global numerical optimization problem solving and optimizing machine learning paramseters
OR Adegboye, AK Feda - Cluster Computing, 2025 - Springer
Abstract The Exponential Distribution Optimizer (EDO) is a population-based optimizer
inspired by exponential distribution theory. It's widely used in real-world scenarios due to its …
inspired by exponential distribution theory. It's widely used in real-world scenarios due to its …
Evolutionary optimization of Yagi–Uda antenna design using grey wolf optimizer
Meta-heuristic optimization algorithms have become widely used due to their outstanding
features, such as gradient-free mechanisms, high flexibility, and great potential for avoiding …
features, such as gradient-free mechanisms, high flexibility, and great potential for avoiding …
Black eagle optimizer: a metaheuristic optimization method for solving engineering optimization problems
H Zhang, H San, J Chen, H Sun, L Ding, X Wu - Cluster Computing, 2024 - Springer
This paper proposes a new intelligent optimization algorithm named Black Eagle Optimizer
(BEO) based on the biological behaviour of the black eagle. The BEO algorithm combines …
(BEO) based on the biological behaviour of the black eagle. The BEO algorithm combines …
Research on UAV Obstacle Avoidance Based on Multi-angle Improved Gray Wolf Algorithm
X Li, X Li - 2024 7th International Conference on Computer …, 2024 - ieeexplore.ieee.org
Aiming at the current problem of insufficient autonomous flight and obstacle avoidance
ability of UAVs in complex environments and poor algorithm optimization effect. In this …
ability of UAVs in complex environments and poor algorithm optimization effect. In this …