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: 1.2
Depends: geometry, parallel
Suggests: markdown, knitr, testthat
Published: 2020-09-17
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

Downloads:

Reference manual: caRamel.pdf
Vignettes: Simple test functions
A constrained problem
Pareto front sensitivity
Package source: caRamel_1.2.tar.gz
Windows binaries: r-devel: caRamel_1.2.zip, r-release: caRamel_1.2.zip, r-oldrel: caRamel_1.2.zip
macOS binaries: r-release: caRamel_1.2.tgz, r-oldrel: caRamel_1.2.tgz
Old sources: caRamel archive

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