To tackle the challenge of the loss function's multi-modality and diversity of optimization results for future development in automated custom force field parameter optimization, we propose to use a global optimization approach. Additionally, the current optimization scheme yields a single resulting parameter set. However, the different optimization setups show that there are different parameter sets that might be promising, depending on the intended use case. Furthermore, the two optimization objectives used herein seem to be contrary to one another because, if there is an improvement for one property, often the error of the other increases. Thus, for further development, we additionally plan to use a multi-objective optimization with multiple solutions.