Cause of 4D Kronecker underperformance
Determine whether the inability of 4-dimensional Kronecker point sets, whose parameters are optimized specifically for each sample size by Covariance Matrix Adaptation Evolution Strategy (CMA-ES) and Reactive Tabu Search (RTS), to outperform truncated Sobol' sequences arises from intrinsic limitations of Kronecker sequences in dimension 4 or from insufficient effectiveness of the employed optimization algorithms in finding high-quality Kronecker parameters.
References
As shown in Table~\ref{tab:kronecker_4d}, even the CMA-ES and RTS algorithms that tune the parameters specifically for one given n cannot outperform the discrepancy values of the truncated Sobol' sequence in 4 dimensions. One question that remains is whether this is due to the nature of Kronecker sequences or to the ability of the algorithms to find very good parameters. The former would mean that Kronecker sequences would be unable to provide good point sets for dimension~$D=4$, and possibly beyond.