A potential route to improvement for this strategy is to incorporate Bayesian optimization into the parameter search strategy in order to acquire test points more efficiently. Bayesian optimization is generally efficient at solving black-box optimization problems, which is essentially what this parameter optimization is. Starting with a smaller and more restricted set of initial parameters and allowing Bayesian optimization to acquire samples, could lead to a more efficient and reproducible optimization.