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Title: Using genetic algorithm and TOPSIS for Xinanjiang model calibration with a single procedure
Authors: Cheng, C
Zhao, MY
Chau, KW 
Wu, X
Issue Date: Jan-2006
Source: Journal of hydrology, 10 Jan. 2006, v. 316, no. 1-4, p. 129-140
Abstract: Genetic Algorithm (GA) is globally oriented in searching and thus useful in optimizing multiobjective problems, especially where the objective functions are ill-defined. Conceptual rainfall–runoff models that aim at predicting streamflow from the knowledge of precipitation over a catchment have become a basic tool for flood forecasting. The parameter calibration of a conceptual model usually involves the multiple criteria for judging the performances of observed data. However, it is often difficult to derive all objective functions for the parameter calibration problem of a conceptual model. Thus, a new method to the multiple criteria parameter calibration problem, which combines GA with TOPSIS (technique for order performance by similarity to ideal solution) for Xinanjiang model, is presented. This study is an immediate further development of authors' previous research (Cheng, C.T., Ou, C.P., Chau, K.W., 2002. Combining a fuzzy optimal model with a genetic algorithm to solve multi-objective rainfall–runoff model calibration. Journal of Hydrology, 268, 72–86), whose obvious disadvantages are to split the whole procedure into two parts and to become difficult to integrally grasp the best behaviors of model during the calibration procedure. The current method integrates the two parts of Xinanjiang rainfall–runoff model calibration together, simplifying the procedures of model calibration and validation and easily demonstrated the intrinsic phenomenon of observed data in integrity. Comparison of results with two-step procedure shows that the current methodology gives similar results to the previous method, is also feasible and robust, but simpler and easier to apply in practice.
Keywords: Genetic algorithm
Rainfall-runoff model
Calibration
Multiple objectives
TOPSIS
Journal: Journal of hydrology 
ISSN: 0022-1694
DOI: 10.1016/j.jhydrol.2005.04.022
Rights: Journal of Hydrology © 2005 Elsevier B.V. The journal web site is located at http://www.sciencedirect.com.
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