Analyzing Single-objective Black-box Optimization Algorithms Using the Empirical Attainment Function
The empirical attainment function (EAF) provides a more comprehensive and precise way to analyze the performance of single-objective black-box optimization algorithms compared to the commonly used target-based empirical cumulative distribution function (ECDF).