caRamel: Automatic Calibration by Evolutionary Multi Objective Algorithm

Multi-objective optimizer initially developed for the calibration of hydrological models. The algorithm is a hybrid of the MEAS algorithm (Efstratiadis and Koutsoyiannis (2005) <doi:10.13140/RG.2.2.32963.81446>) 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 <doi:10.1142/9789812567796_0004>).

Version: 1.3
Depends: geometry, parallel
Suggests: markdown, rmarkdown, knitr, testthat
Published: 2022-02-25
DOI: 10.32614/CRAN.package.caRamel
Author: Nicolas Le Moine [aut], Celine Monteil [aut], Frederic Hendrickx [ctb], Fabrice Zaoui [aut, cre]
Maintainer: Fabrice Zaoui <fabrice.zaoui at>
License: GPL-3 | file LICENSE
NeedsCompilation: no
Citation: caRamel citation info
Materials: README NEWS
In views: Optimization
CRAN checks: caRamel results


Reference manual: caRamel.pdf
Vignettes: Simple test functions
Options for the carallel parameter
A constrained problem
Pareto front of fronts with MPI
Merging multi caRamel results
caRamel and Python function
Pareto front sensitivity


Package source: caRamel_1.3.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): caRamel_1.3.tgz, r-oldrel (arm64): caRamel_1.3.tgz, r-release (x86_64): caRamel_1.3.tgz, r-oldrel (x86_64): caRamel_1.3.tgz
Old sources: caRamel archive

Reverse dependencies:

Reverse suggests: airGR


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