Wavelet Neural Network (WNN) uses the gradient descent method to adjust the connecting weight and the scales for expanding/contracting and translating, which has the shortcomings of slow convergence speed and the local extremum. A method for assessing the operational effectiveness of electronic warfare UAVs based on Genetic Algorithm WNN (GA-WNN) is proposed. Based on WNN, the evaluation model uses GA to find the initial optimal WNN connecting weights, scaling parameters, and translating parameters. It avoids the blindness of artificial parameter setting. Simulation results show that this model can accurately and effectively assess the operational effectiveness of electronic warfare UAVs.