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caRamel: Automatic Calibration by Evolutionary Multi Objective Algorithm

The caRamel optimizer has been developed to meet the requirement for an automatic calibration procedure that delivers a family of parameter sets that are optimal with regard to a multi-objective target (Monteil et al. <doi:10.5194/hess-24-3189-2020>).

Version: 1.4
Depends: geometry, parallel
Suggests: markdown, rmarkdown, knitr, testthat
Published: 2024-07-29
DOI: 10.32614/CRAN.package.caRamel
Author: Nicolas Le Moine [aut], Celine Monteil [aut], Frederic Hendrickx [ctb], Fabrice Zaoui [aut, cre], Alban de Lavenne [ctb]
Maintainer: Fabrice Zaoui <fabrice.zaoui at edf.fr>
BugReports: https://github.com/fzao/caRamel/issues
License: GPL-3 | file LICENSE
URL: https://github.com/fzao/caRamel
NeedsCompilation: yes
Citation: caRamel citation info
Materials: README NEWS
In views: Optimization
CRAN checks: caRamel results

Documentation:

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

Downloads:

Package source: caRamel_1.4.tar.gz
Windows binaries: r-devel: caRamel_1.4.zip, r-release: caRamel_1.4.zip, r-oldrel: caRamel_1.4.zip
macOS binaries: r-release (arm64): caRamel_1.4.tgz, r-oldrel (arm64): caRamel_1.4.tgz, r-release (x86_64): caRamel_1.4.tgz, r-oldrel (x86_64): caRamel_1.4.tgz
Old sources: caRamel archive

Reverse dependencies:

Reverse suggests: airGR

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.