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.

Abstract: The new Enhanced Grey Wolf Optimization (EGWO) algorithm presented in this research is intended to enhance the exploration and exploitation capabilities for resolving six benchmark test ...

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 ...

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 ...

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

Zhenyu Yu GAS-Leak-LLM: Genetic Algorithm-Based Suffix Optimization for Black-Box LLM Jailbreaking Aman Anifer, Vignesh Kumar Kembu, Vishnu M, Antonino Nocera, Vinod P., Amal Murali PK, Akshay S Rajan ...

BACKGROUND: Hypertension induces structural and functional damage in multiple organs. Evidence of subclinical damage ...

The Psychological Effects of Ending Temporary Protected Status 13 hours ...

On recognition of a cardiac arrest event, a layperson should simultaneously and promptly activate the emergency response system and initiate cardiopulmonary resuscitation (CPR). Recognition that all ...