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

Willem Vanhaute UGent, Sander Vandenberghe UGent, Karolien Scheerlinck UGent, Bernard De Baets UGent and Niko Verhoest UGent (2012) HYDROLOGY AND EARTH SYSTEM SCIENCES. 16(3). p.873-891
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.
Please use this url to cite or link to this publication:
author
organization
year
type
journalArticle (original)
publication status
published
subject
keyword
DESIGN, CLUSTER MODEL, SIMULATION, ALGORITHM, SELECTION, CONVERGENCE ANALYSIS, PARAMETER-ESTIMATION, POINT PROCESS MODELS, RECTANGULAR PULSE MODEL, STOCHASTIC RAINFALL MODELS
journal title
HYDROLOGY AND EARTH SYSTEM SCIENCES
Hydrol. Earth Syst. Sci.
volume
16
issue
3
pages
873 - 891
Web of Science type
Article
Web of Science id
000302176600017
JCR category
WATER RESOURCES
JCR impact factor
3.587 (2012)
JCR rank
2/80 (2012)
JCR quartile
1 (2012)
ISSN
1027-5606
DOI
10.5194/hess-16-873-2012
language
English
UGent publication?
yes
classification
A1
copyright statement
I have retained and own the full copyright for this publication
id
2136077
handle
http://hdl.handle.net/1854/LU-2136077
date created
2012-06-07 13:46:08
date last changed
2012-06-18 12:50:29
@article{2136077,
  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.},
  author       = {Vanhaute, Willem and Vandenberghe, Sander and Scheerlinck, Karolien and De Baets, Bernard and Verhoest, Niko},
  issn         = {1027-5606},
  journal      = {HYDROLOGY AND EARTH SYSTEM SCIENCES},
  keyword      = {DESIGN,CLUSTER MODEL,SIMULATION,ALGORITHM,SELECTION,CONVERGENCE ANALYSIS,PARAMETER-ESTIMATION,POINT PROCESS MODELS,RECTANGULAR PULSE MODEL,STOCHASTIC RAINFALL MODELS},
  language     = {eng},
  number       = {3},
  pages        = {873--891},
  title        = {Calibration of the modified Bartlett-Lewis model using global optimization techniques and alternative objective functions},
  url          = {http://dx.doi.org/10.5194/hess-16-873-2012},
  volume       = {16},
  year         = {2012},
}

Chicago
Vanhaute, Willem, Sander Vandenberghe, Karolien Scheerlinck, Bernard De Baets, and Niko Verhoest. 2012. “Calibration of the Modified Bartlett-Lewis Model Using Global Optimization Techniques and Alternative Objective Functions.” Hydrology and Earth System Sciences 16 (3): 873–891.
APA
Vanhaute, W., Vandenberghe, S., Scheerlinck, K., De Baets, B., & Verhoest, N. (2012). Calibration of the modified Bartlett-Lewis model using global optimization techniques and alternative objective functions. HYDROLOGY AND EARTH SYSTEM SCIENCES, 16(3), 873–891.
Vancouver
1.
Vanhaute W, Vandenberghe S, Scheerlinck K, De Baets B, Verhoest N. Calibration of the modified Bartlett-Lewis model using global optimization techniques and alternative objective functions. HYDROLOGY AND EARTH SYSTEM SCIENCES. 2012;16(3):873–91.
MLA
Vanhaute, Willem, Sander Vandenberghe, Karolien Scheerlinck, et al. “Calibration of the Modified Bartlett-Lewis Model Using Global Optimization Techniques and Alternative Objective Functions.” HYDROLOGY AND EARTH SYSTEM SCIENCES 16.3 (2012): 873–891. Print.