The consideration of discrete variables (e.g. catalyst, ligand, solvent) in experimental self-optimization approaches remains a significant challenge. Herein we report the application new mixed variable multi-objective optimization (MVMOO) algorithm for chemical reactions. Coupling MVMOO with an automated continuous flow platform enabled identification trade-off curves different performance cri...
