Parity-time (PT) symmetric theory has a good application prospect in the field of optical imaging, but there is a strong nonlinear inverse problem in the design of imaging system, which makes it difficult to obtain the ideal imaging effect. In this study, a Runge-Kutta (RUN) optimizer is used for the design of optical imaging system, and a PT symmetric imaging system based on RUN optimization algorithm is proposed. The design of the PT symmetric imaging system is completed by taking the dielectric constant and thickness of the multilayer film as the optimization parameters, and the sum of reflectance and transmittance at different angles is taken as the objective function of the optimization algorithm. In order to analyze the design effect of PT symmetric imaging system based on RUN optimization algorithm, the optimization results of genetic algorithm (GA) are given. The results show that, compared with GA, the PT symmetric imaging system based on the RUN optimization algorithm can achieve independent optimization without setting the initial parameters, and can achieve the breakthrough of the transition from five layers to three layers when the same effect is obtained. The research results can provide a theoretical basis for the practical application of PT symmetric imaging system.