The work aims to obtain the optimal tuning parameters of PID controller and meet the actual temperature control requirements of the plate cylinder, so that the temperature control has higher accuracy and precision. An intelligent fusion algorithm was proposed by combining genetic algorithm (GA) with particle swarm optimization (PSO). The algorithm was used to optimize the parameters of two-degree-of-freedom PID controller for the plate cylinder temperature control system. The simulation based on Matlab was carried out and the proposed method was compared with other tuning methods herein. Through simulation verification, the proposed method had good control effects. Compared with other methods, the said method was characterized by fast system response, short adjustment time, small overshoot and good robustness, and it also had extremely strong anti-interference ability. The adjustment time in command tracking characteristics was 143.7 s and the overshoot was 15%. The adjustment time in the external disturbance rejection characteristic was 57 s and the overshoot was 2.5%. All the performance indexes were significantly better than those of other methods. The proposed fusion algorithm can fully exploit the advantages of the two algorithms. Featured by excellent performance indexes, it can better meet the on-site control requirements.