Combining a fuzzy optimal model with a genetic algorithm to solve multi-objective rainfall–runoff model calibration

摘要: An automatic calibration methodology for the Xinanjiang model that has been successfully and widely applied in China is presented. The of consists two parts: water balance parameter runoff routing calibration. former based on a simple genetic algorithm (GA). latter new method which combines fuzzy optimal (FOM) with GA solving multiple objective parameters problem. Except specific fitness where membership degree alternative obtained by FOM limited alternatives multi-objectives employed, objectives this paper otherwise same as GA. includes optimization objectives: (1) peak discharge, (2) time (3) total volume. Thirty-four historical floods from 12 years Shuangpai Reservoir are to calibrate whilst 11 recent 2 utilized verify these parameters. Results study application show hybrid GAs not only capable exploiting more important characteristics but also efficient robust.