Focusing on the decision-making problem of aircraft battle damage repair, an intelligent decision-making support system is designed.Differential evolution algorithm is used to solve the multiple linear regression model of time estimation, which improves the estimation accuracy compared with traditional methods.On this basis, a repair sequence decision-making model with the goal of mininium time is constructed, and the improved adaptive real number coding genetic algorithm is used to solve it, which effectively improves the convergence efficiency.Based on the above model, an auxiliary decision-making system is developed to realize functions such as data management interaction and graphical user interface, which provides support for intelligent decision-making on aircraft battle damage repair.