A hyperparameter tuning job is about to start in Amazon Sagemaker. The data engineer wants to run several parallel training jobs at a time, then make use of the knowledge gained about the best hyperparameters range to run another parallel training jobs until he fulfills the recommended accuracy. Which is the best search technique for this scenario?