With these general recommendations, we acknowledge several caveats. While we believe our convergence method to be useful and an important step in automating molecular GA methods, further work is needed to explore the potential of breaking through the perceived Pareto front that currently exists at the tradeoff between elite search space coverage and speedup. Additionally, such methods could also potentially reduce the need for multiple GA runs if the convergence method is able to better ensure consistent coverage of elite search spaces. Although this work was performed with polymer GAs, we believe the results should transfer to other types of molecular GAs. Using three different chemical properties as optimization targets, we demonstrated that the GA best practices suggested in this work are suited for a wide and varied range of molecular discovery applications.