IEEE

Improved Grey Wolf Optimization Algorithm Based on Hyperbolic Tangent Inertia Weight

Abstract: The Grey Wolf Optimization Algorithm (GWO) replicates the leadership and foraging mechanisms of the natural grey wolf and excels in solving problems in a variety of domains. However, the ...
IEEE

Hybrid Strategy Improved Grey Wolf Optimization Algorithm for Plume Tracking and Localization Method in Indoor Weak Wind Environment

Abstract: Reliable tracking of the plume by the robot is the key to achieving plume source localization. To address the problem of low success rate and long search time of robot source location due to ...
GitHub

Adaptive-Grey-Wolf-Optimization-Algorithm (AGWO)

Run_scripts.py controls the general optimization parameters (Population size, number of runs, number of iterations) Optimizers contains the algorithms of GWO (original from EvoloPy package), and AGWO.
Frontiers

Utilization of machine learning models and Grey Wolf optimization method in estimation of pharmaceutical solubility in supercritical CO2

The Grey Wolf Optimizer (GWO) algorithm was employed for hyperparameter tuning to enhance model performance and ensure robust generalization. Experimental data covering a temperature range of 308 to ...
Frontiers

Machine learning-assisted optimization of ultrasound–ohmic processing of hawthorn vinegar: Antidiabetic activity, phenolic profiling, and molecular docking insights

Metaheuristic optimization algorithms, including Particle Swarm Optimization (PSO), Differential Evolution (DE), and Gray Wolf Optimization (GWO), converged to similar optimum processing conditions, ...
GitHub

citylex-2026-06-15_morphology_segmention.tsv

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