Abstract: The optimal method for improving the electric field uniformity of vacuum interrupter based on the combination of artificial neural network and genetic algorithm is proposed,and taking a 12 kV vacuum interrupter as the research object.The internal electric field is analyzed by optimizing the influence factors of the structural parameters and the electrode contour.In order to achieve the uniform electric field design,the improved neural network model is proposed,considering the floating shield electrode length and end profile curvature,the curvature of the end of the movable and static electrodes as the input neurons and the uniformity of the electric field within the vacuum interrupter as the output variable.Furthermore,the uniformity of the electric field of the vacuum interrupter is determined as the optimal goal,the genetic algorithm is used to optimize the structural parameters of the vacuum interrupter,and the static insulation performance of the vacuum interrupter is improved.