Stochastic Diffusion Optimization Outperforms Leading Metaheuristics in High-Dimensional Noisy Environments
A diffusion-inspired metaheuristic replacing gradient descent with density-driven particle dispersal achieves superior optimization accuracy across high-dimensional and noisy benchmark landscapes.
