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 ...
Abstract: Grey wolf optimizer (GWO) is a new meta-heuristic algorithm. The GWO algorithm mimics the leadership hierarchy and hunting mechanism of grey wolves in nature. Three main stages of hunting ...
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.
BACKGROUND: Hypertension induces structural and functional damage in multiple organs. Evidence of subclinical damage ...
Carolyn Reinach Wolf on June 30, 2026 in From the Desk of the Mental Health Lawyer A federal mental health initiative has the potential to chill the work of prescribers and points to the need for a ...
The proposed MWA is compared against five existing MPPT algorithms—incremental conductance (INC), perturbation and observation (P&O), particle swarm optimization (PSO), grey wolf optimization (GWO), ...
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 ...
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