Research on Lifetime Grey Prediction of Electronic Equipment Based on Improved Genetic Algorithm

Grey theory has been applied widely in the field of prediction and decision, but model precision is influenced extremely by sequence smooth degree, boundary condition and background value. Genetic algorithm has well effect in searching for best result because it is an effective way. The paper advances a new method, sin function is used to deal with sequence, and genetic algorithm is used to optimize the boundary value and background value of GM(1,1) model. It has been shown that the improved model is better through predicting the lifetime of electronic equipment on the missile.