针对飞机战伤抢修决策问题, 设计了智能化决策支持系统。采用差分进化算法求解了时间估算的多元线性回归模型, 相比传统方法提高了估计精度。在此基础上构建了以时间最少为目标的抢修顺序决策模型, 并采用改进的自适应实数编码遗传算法进行求解, 有效提升了收敛效率。基于上述模型开发了辅助决策系统, 实现数据管理交互和图形用户界面等功能, 为战伤抢修智能化决策提供了支持。

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.