Selecting the right values for an algorithm’s parameters usually is a difficult, critical, and time-intensive endeavor. Though parameters can be traditionally adjusted in an empirical way, recent research indicates that automated tuning methods can frequently identify superior parameter configurations. In this sense, Racing Techniques emerge as a method of tuning hyperparameters and finding the best configurati...