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

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Artificial Intelligence techniques: An introduction to their use for modelling environmental systems (2008, methodology): “• FS and GA: modelling rainfall [28], calibrating a rainfall-runoff model [32].”
Comparison of Several Flood Forecasting Models in Yangtze River (2005, methodology): “Cheng et al. (2002) applied a GA to calibrate conceptual rainfall-runoff models.”
One decade of multi-objective calibration approaches in hydrological modelling: a review (2010, methodology): “Fuzzy multi-objective functions are also used that ensure flexibility and allow for combining criteria that are not directly analogous (Yu & Tang, 2000; Seibert & McDonnell, 2002; Cheng et al., 2002, 2006).”
A comparative fuzzy logic approach to runoff coefficient and runoff estimation (2006, background): “However, many other applications are possible in the water sciences domain (Chuntian, 1999; Abebe et al., 2000; Liong et al., 2000; Yu and Yang, 2000; Hundecha et al., 2001; Chang and Chen, 2001; Chang et al., 2001, 2002; Ozalkan and Duckstein, 2001; Xiong et al., 2001; Cheng et al., 2002).”
Multiobjective calibration with Pareto preference ordering: An application to rainfall‐runoff model calibration (2005, methodology): “In recent years, GA has been widely used to calibrate rainfall-runoff models and is one of the most effective methods [Cooper et al., 1997; Franchini et al., 1998; Liong et al., 2001; Cheng et al., 2002].”