会议专题

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

2012 Fifth International Symposium on Computational Intelligence and Design 第五届计算智能与设计国际会议 ISCID 2012

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)