PID controller is widely used in automatic control,electronics and other fields,the rationality of PID parameters is the key factor to measure the performance index of the system.Adaptive weight strategy was introduced to balance global search and local search ability,and the local search ability of the seagull optimization algorithm was enhanced by cosine strategy of inertial weight.Tweleve standard test functions and a second-order temperature control delay system were tested,the test results were compared with genetic algorithm,particle swarm algorithm and artificial fish swarm algorithm.The results show that the proposed algorithm is feasible for optimizing the parameters of the PID controller.