Deep generative architectures (DGE) have revolutionized various fields by generating realistic synthetic data. To optimize the performance of these models, researchers are constantly investigating new optimization algorithms. A common strategy involves fine-tuning hyperparameters through grid search, aiming to minimize the error metric. Other cutti