Kwon et al. recently implemented a genetic algorithm with a generalized convergence criterion as part of a broader evolutionary design method. In their algorithm, they defined two convergence conditions: a minimum of 500 total generations and a period of 30 consecutive generations during which the fitness was not enhanced. They terminated the evolutionary cycle only after both conditions were met. Previous work in our group also explored termination in a molecular GA focused on building new chemical structures from a pool of known monomers. This method calculated Spearman's rank correlation coefficient of the top given percentage of monomers used at intervals over 100 generation GA runs with variably-sized monomer pools. The point at which the average of this coefficient met or exceeded a value of 0.5 was considered convergence and was used to estimate the number of generations needed to reach convergence for a GA with a similar monomer pool size, and therefore search space.