Swarm-CG employs a sequential optimization approach by conducting multiple coarsegrained simulations to match the distributions of the coarse-grained molecules to the reference. The optimal solution is identified within a multidimensional solution space using the particle swarm algorithm. This means that the solution obtained by Swarm-CG may vary with each calculation, even under identical conditions. Therefore, attention should be directed toward systematic changes in the distributions rather than minor deviations.