Bayesian Optimization, Machine Learning, AI, Hyperparameter Tuning.
these points, and updates the surrogate model with the new findings. This cycle continues until a stopping criterion is met, such as a maximum number of iterations or a satisfactory level of optimization. This method is highly effective in finding the global optimum of complex functions with a