To address problem of offline nominal landing control parameter matching degree that cannot be adapted in complex environment of carrier-based aircraft (CBA), an intelligent optimization method of control parameters for direct lift landing of CBA is proposed in this paper. Firstly, combined with the direct lift control (DLC) structure, the DLC strategy of CBA is designed. At the same time, the DLC parameters under different lift coefficient pull-off conditions are optimized by the off-line design of the CBA landing control performance index. The neural network relationship between the lift coefficient pull-off degree and the DLC optimization parameters is established, the online optimization of the DLC parameters of the CBA are realized. Finally, the simulation results verify the effectiveness of the method.