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
Author:	Nicolas Le Moine [aut], Celine Monteil [aut], Frederic Hendrickx [ctb], Fabrice Zaoui [aut, cre]
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:	no
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_1.3.tar.gz
Windows binaries:	r-devel: caRamel_1.3.zip, r-release: caRamel_1.3.zip, r-oldrel: caRamel_1.3.zip
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

Linking:

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