Abstract: A hybrid intelligent optimization frequency assignment algorithm is presented based on the simulated annealing algorithm, and the memory function of tabu search is introduced simultaneously. An analysis on the influence of the parameters on the performance of the hybrid algorithm is made, and the performances of tabu search, simulated annealing and the hybrid algorithm are compared in the simulation. Results show that the hybrid algorithm converges quickly and robustly, and its solutions quality is higher, and could improve the search efficiency and precision efficaciously. It is beneficial to solve the frequency assignment problem of large scale network.