Abstract: Because there are more than 20 performance parameters of space travelling wave tube (TWT), and they restrict each other, so the traditional manual debugging has great limitations, which is one of the reasons that restrict the performance improvement of TWT. A multi-objective optimization system of space TWT based on the fast and elitist non-dominated sorting genetic algorithm (NSGA-II) is introduced in this paper. This system is composed of multi-objective optimization algorithm, automatic test system for electrical parameters of TWT, program-controlled high-voltage power supply and integrated test platform, which has the advantages of high automation and high reliability. It is not only helpful to form a standardized and standardized debugging process, but also of great significance to improve the potential performance of space TWT.