caRamel-package: caRamel optimizer
In caRamel: Automatic Calibration by Evolutionary Multi Objective Algorithm
caRamel-package R Documentation
caRamel optimizer
Description
Automatic Calibration by Evolutionary Multi Objective Algorithm
Details
caRamel is a package for multi-objective optimization of complex environmental models.
The algorithm is a hybrid of the MEAS algorithm (Efstratiadis and Koutsoyiannis, 2005)
by using the directional search method based on the simplexes of the objective space
and the epsilon-NGSA-II algorithm with the method of classification of the parameter vectors archiving management by epsilon-dominance
(Reed and Devireddy, 2004).
The main function of the package is caRamel().
This function uses all the other functions of the package.
An example of an hydrological optimization is available on the following presentation: useR! 2019
Author(s)
Fabrice Zaoui, Nicolas Le Moine, Celine Monteil (EDF R&D - LNHE)
References
Efstratiadis, A. and Koutsoyiannis, D. (2005) The multi-objective evolutionary annealing-simplex method and its application in calibration hydrological models,
in EGU General Assembly 2005, Geophysical Research Abstracts, Vol. 7, Vienna, 04593, European Geophysical Union. doi:10.13140/ RG.2.2.32963.81446.
Le Moine, N. (2009) Description d’un algorithme génétique multi-objectif pour la calibration d’un modèle pluie-débit (in French).
Post-Doctoral Status Rep. 2, UPMC/EDF, 13 pp.
Reed, P. and Devireddy, D. (2004) Groundwater monitoring design: a case study combining epsilon-dominance archiving and automatic parameterization for the NSGA-II,
in Coello-Coello C, editor. Applications of multi-objective evolutionary algorithms, Advances in natural computation series,
vol. 1, pp. 79-100, World Scientific, New York. doi:10.1142/9789812567796_0004.
caRamel documentation built on Sept. 11, 2024, 7:01 p.m.
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| caRamel-package | R Documentation |
caRamel optimizer
Description
Automatic Calibration by Evolutionary Multi Objective Algorithm
Details
caRamel is a package for multi-objective optimization of complex environmental models.
The algorithm is a hybrid of the MEAS algorithm (Efstratiadis and Koutsoyiannis, 2005) by using the directional search method based on the simplexes of the objective space and the epsilon-NGSA-II algorithm with the method of classification of the parameter vectors archiving management by epsilon-dominance (Reed and Devireddy, 2004).
The main function of the package is caRamel().
This function uses all the other functions of the package.
An example of an hydrological optimization is available on the following presentation: useR! 2019
Author(s)
Fabrice Zaoui, Nicolas Le Moine, Celine Monteil (EDF R&D - LNHE)
References
Efstratiadis, A. and Koutsoyiannis, D. (2005) The multi-objective evolutionary annealing-simplex method and its application in calibration hydrological models, in EGU General Assembly 2005, Geophysical Research Abstracts, Vol. 7, Vienna, 04593, European Geophysical Union. doi:10.13140/ RG.2.2.32963.81446.
Le Moine, N. (2009) Description d’un algorithme génétique multi-objectif pour la calibration d’un modèle pluie-débit (in French). Post-Doctoral Status Rep. 2, UPMC/EDF, 13 pp.
Reed, P. and Devireddy, D. (2004) Groundwater monitoring design: a case study combining epsilon-dominance archiving and automatic parameterization for the NSGA-II, in Coello-Coello C, editor. Applications of multi-objective evolutionary algorithms, Advances in natural computation series, vol. 1, pp. 79-100, World Scientific, New York. doi:10.1142/9789812567796_0004.
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