Deep generative architectures (DGE) have revolutionized numerous fields by generating realistic artificial data. To optimize the performance of these models, researchers are constantly investigating new optimization algorithms. A common approach involves fine-tuning hyperparameters through randomized search, aiming to reduce the loss function. Othe