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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