In today's single-pass free-electron lasers, a lot of time and effort is spent on the manual optimization of machine parameters with the goal of improving the photon beam. Identifying and automating these tuning procedures holds the promise of faster set-up times and higher machine efficiency. This talk gives an overview of various optimization routines used for this purpose at the European XFEL. Our first attempts at exploiting machine learning algorithms are also included.