To study the comparative efficiency of each algorithm, we track the cumulative number of function calls over the full 150 generations for the twenty individual runs of each algorithm. This has the advantage that it does not interrupt the splitting front procedure, as might be the case when working with a fixed and limited function call budget. An overview of the mean and standard deviation of the cumulative fitness calls of each algorithm is shown in Table . NSGA-III consistently outperforms NSGA-II in terms of efficiency, and is more efficient than GB-EPI in all benchmarks where they have similar performance for dominated hypervolume and geometric mean.