Spares consumption combination forecasting based on genetic algorithm and exponential smoothing method
In view of the characteristics that the linear exponential smoothing, secondary exponential smoothing, cubic exponential smoothing had different fitting degree when predicted the spares with the different consumption discipline, optimized results of these three methods through the combination prediction model, and solved it by genetic algorithm and used the obtained results with minimum error as spares consumption quota. The prediction results show that the model predicts accurately, with high utility and promotion.
genetic algorithm linear exponential smoothing secondary exponential smoothing cubic exponential smoothing combination forecasting spares consumption quota
GUO Feng LIU Chen-yu ZHOU Bin ZHANG Su-qin
Naval Aeronautical Engineering Institute Qingdao Branch Qingdao 266041, China
国际会议
杭州
英文
776-779
2012-10-28(万方平台首次上网日期,不代表论文的发表时间)