As an illustrative example, we consider the suzuki i-suzuki iv datasets from Olympus, which report the yield and catalyst turnover number for flow-based Suzuki-Miyaura coupling reactions with varying substrates shown in Figure and. There are three continuous parameters (temperature, residence time, and catalyst loading) and one categorical parameter (Pd catalyst ligand). The objective is to simultaneously maximize both the yield and catalyst turnover number across all four substrates with the general parameter optimization strategy. Since this is also a multi-objective optimization problem, we use the Hypervolume ASF.