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| Titel |
Calibration of the modified Bartlett-Lewis model using global optimization techniques and alternative objective functions |
| VerfasserIn |
W. J. Vanhaute, S. Vandenberghe, K. Scheerlinck, B. Baets, N. E. C. Verhoest |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1027-5606
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| Digitales Dokument |
URL |
| Erschienen |
In: Hydrology and Earth System Sciences ; 16, no. 3 ; Nr. 16, no. 3 (2012-03-19), S.873-891 |
| Datensatznummer |
250013217
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| Publikation (Nr.) |
 copernicus.org/hess-16-873-2012.pdf |
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| Zusammenfassung |
| 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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