Looking at the results for the realistic trial, we saw that all runs met or exceeded the true champion values for the limited search space used in hyperparameter testing, indicating that even in a vastly larger search space the GA was able to efficiently find the top values. The chemical structures of the champions from the previously limited search space, as well as from this realistic trial, can be seen in ESI Figures . As shown in Figure , individual runs within a given property search did not always converge to the same top performer. The figure also demonstrates that different properties resulted in varying levels of agreement between individual runs. This is likely due to differences in the "roughness" of the search spaces defined for each of the properties, with the polarizability search space being considerably smoother than the solvation energy search space. The polarizability GAs had several runs converge to the same champion while the solvation energy GA's individual runs all converged to different champions. The differences in the convergence between individual runs reinforce the need to perform several trials when possible for any given GA search, especially when a goal is to get as close to the global extremum as possible. In order to examine how the GA performed in terms of elite performer coverage, we found the top 10% of values across all 5 runs for each chemical property and then compared the results of each individual run to this elite pool (ESI Figure ). We note that no single run captured even a majority of this elite pool and some runs captured very little, even less than one percent. This leads us to recommend that multiple GA runs are highly suggested when practical to allow the best coverage of elite search space.