<p>The solenoid switching valve (SSV) is the key control component of heavy equipment such as continuous casting machines. However, the incompatibility of structural parameters increases the opening and closing time of the SSV. Therefore, this study proposes an optimized design method for an SSV to improve its dynamic performance. First, a multi-physics field-coupling model of the SSV is built, and the effects of different structural parameters on the electromagnetic characteristics are analyzed. After identifying the key influencing parameters, second-order response surface models are established to efficiently predict the opening and closing time. Subsequently, based on the non-dominated sorting genetic algorithm II (NSGA-II), multi-objective optimization is applied to obtain the Pareto optimal solution of the structural parameters under the double-voltage driving strategy. The structure of the solenoid and valve as well as the dynamic characteristics of the valve are improved. Compared with those before optimization, the optimization results show that the opening and closing time of the optimized SSV are reduced by 24.38% and 51.8%, respectively, and the volume is reduced by 19.7%. The research results and the influence of the solenoid structural parameters on the electromagnetic force provide significant guidance for the design of this type of valve.</p>