In order to improve the transmission efficiency of the magnetically coupled resonant radio energy transmission system, the paper optimizes the multi-parameter matching problem of the system, so that the radio energy transmission system works in an optimal state. The Matlab simulation software is used to study the three key parameters affecting the efficiency of this magnetically coupled resonant radio energy transmission system:frequency, transmission distance and load resistance. Then, with the goal of improving system transmission efficiency, the adaptive particle swarm optimization algorithm is used to find the optimal matching values of these three key parameters. Finally, the adaptive particle swarm optimization algorithm is simulated, and the parameter values corresponding to the optimal solution are obtained. The simulation results prove the effectiveness of the method, and the research has certain guiding significance for the efficiency optimization of the magnetic coupling resonant radio energy transmission system, which has certain practical value. This work is supported by Key Program of National Natural Science Foundation of China (No. U1766209).