For the DE algorithm, the exploration capability can be significantly improved by adopting the rand1bin strategy to generate the mutation vector. This strategy change results in the overall best performance for Schwefel's function, as shown in Table .13 (SI). For a fixed step length of δ = 0.1, the optimisation runs with SOPPI perform surprisingly well; however, the overall results indicate a high parameter sensitivity.