Pointing accuracy is one of the core indicators in the field of beam control, and the level of pointing accuracy directly determines the performance of the beam controller. In order to solve the problems of large beam deflection angle error and deterioration of pointing accuracy caused by the limitation of liquid crystal phased array fabrication process, a beam pointing accuracy optimization algorithm based on improved Harris hawk optimization algorithm (HHO) is proposed. First, the influencing factors are analyzed, reasonable device parameters are selected. Then, the Harris hawk algorithm (HHO) is used to optimize the beam pointing accuracy of the liquid crystal phased array. Finally, in view of the difficulty of the Harris hawk algorithm being easily trapped in the local optimal value, this paper designs the Harris hawk algorithm that takes into account the overall and local optimization strategies (G&L-HHO). In terms of the global optimization strategy, the Cauchy distribution function is selected to increase the initial population diversity and improve the algorithm’s global search efficiency. In terms of local optimization strategies,the optimization performance of the Harris hawk algorithm is enhanced through adaptive cosine weighting factors. The comparative results of simulation experiments show that the G&L-HHO algorithm proposed in this study optimizes the normalization accuracy error from 100 orders of magnitude to 10-4 orders of magnitude, and greatly reduces the fluctuation amplitude of normalization accuracy error. This study significantly improves the accuracy of beam pointing and has advantages of high convergence accuracy, fast convergence speed, and strong robustness.