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Hydrology and Earth System Sciences An interactive open-access journal of the European Geosciences Union
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Volume 16, issue 3
Hydrol. Earth Syst. Sci., 16, 873–891, 2012
https://doi.org/10.5194/hess-16-873-2012
© Author(s) 2012. This work is distributed under
the Creative Commons Attribution 3.0 License.
Hydrol. Earth Syst. Sci., 16, 873–891, 2012
https://doi.org/10.5194/hess-16-873-2012
© Author(s) 2012. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 19 Mar 2012

Research article | 19 Mar 2012

Calibration of the modified Bartlett-Lewis model using global optimization techniques and alternative objective functions

W. J. Vanhaute1, S. Vandenberghe1, K. Scheerlinck2, B. De Baets2, and N. E. C. Verhoest1 W. J. Vanhaute et al.
  • 1Laboratory of Hydrology and Water Management, Ghent University, Coupure links 653, 9000 Ghent, Belgium
  • 2Department of Mathematical modelling, Statistics and Bioinformatics, Ghent University, Coupure links 653, 9000 Ghent, Belgium

Abstract. The calibration of stochastic point process rainfall models, such as of the Bartlett-Lewis type, suffers from the presence of multiple local minima which local search algorithms usually fail to avoid. To meet this shortcoming, four relatively new global optimization methods are presented and tested for their ability to calibrate the Modified Bartlett-Lewis Model. The list of tested methods consists of: the Downhill Simplex Method, Simplex-Simulated Annealing, Particle Swarm Optimization and Shuffled Complex Evolution. The parameters of these algorithms are first optimized to ensure optimal performance, after which they are used for calibration of the Modified Bartlett-Lewis model. Furthermore, this paper addresses the choice of weights in the objective function. Three alternative weighing methods are compared to determine whether or not simulation results (obtained after calibration with the best optimization method) are influenced by the choice of weights.

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