Meanwhile, with the linear increase in the number of data points generated, time seems to exponentially increase for surrogate training (Figure ). Consequently, the surrogate training might be extremely time-consuming if the number of sampled data points is high. Therefore, over-sampling brings the unnecessary time costs for data generation and extra effort for surrogate training. To avoid over-sampling, it might be beneficial to spot the non-improvement trend as early as possible.