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, ...

Detector-Evasive LLM Paraphrasing via Constrained Policy Optimization Mingyi Wang, Zhuoer Shen, Yuheng Bu, Shaofeng Zou Detect Before You Leap: Mirage Detection in Vision-Language Models Sayeed ...

Cognition Slow Motion, Video Reviews, and a Red Card Ira Hyman Ph.D. on July 2, 2026 in Mental Mishaps In a World Cup soccer match, a serious penalty was called on a US player by the video review ...

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