Within the developed KVIK optimisation framework, we provide multiple evolutionary algorithms for the force field optimisation, i.e. PSO, CPSO, DE, CMA-ES, and VD-CMA. In a benchmark study on mathematical test functions, the performance of the different optimisers was evaluated and compared with the standard SOPPI procedure. The CPSO proved to be highly robust and showed superior performance over the standard PSO approach due to an enhanced diversity of the swarm. While the DE algorithm generally converges reliably and rather quickly to the global solution, a careful selection of the differential evolution strategy is needed. The Covariance Matrix Adaptation approaches find a strongly improved result after only a few optimisation iterations; however, premature convergence has been observed