Abstract: When adjusting the weights of antenna array elements, the beam pattern will also be changed, this may lead to higher sidelobe levels and steering direction change. In order to alleviate the changes during pattern nulling, pattern nulling problem was modeled as a constraint optimization problem. The nulling depth, near sidelobe level, desired direction gain and stable desired steering direction are set as constraints. The sidelobe level is set as the optimization function. Then, e-self-adaptive differential evolution algorithm was applied to solve the problem by adjusting weights and phase of the elements respectively. The algorithm adjusted scale factor, crossover rate adaptively and mutation strategy according to the computation process. Simulation results show that the proposed method successfully design patterns with preferred nulling level,near sidelobe level, desired direction gain and stable desired steering direction.