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: 1.1
Depends: geometry, parallel
Suggests: knitr, testthat
Published: 2019-05-28
Author: Nicolas Le Moine [aut], Celine Monteil [aut], Frederic Hendrickx [ctb], Fabrice Zaoui [aut, cre]
Maintainer: Fabrice Zaoui <fabrice.zaoui at>
License: GPL-3
NeedsCompilation: no
Materials: README NEWS
In views: Optimization
CRAN checks: caRamel results


Reference manual: caRamel.pdf
Vignettes: Using the caRamel R package: test a constrained problem
Using the caRamel R package: simple test functions
Package source: caRamel_1.1.tar.gz
Windows binaries: r-prerelease:, r-release:, r-oldrel:
macOS binaries: r-prerelease: caRamel_1.1.tgz, r-release: caRamel_1.1.tgz, r-oldrel: caRamel_1.1.tgz
Old sources: caRamel archive


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