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>).

Package overview README.md Compute several Pareto fronts for a better global result Dealing with constraints Multi-caRamel optimization with MPI Sensitivity of the Pareto front Three ways to call the user functions Using a Python function with caRamel Using caRamel on two benchmark tests

Vignettes Man pages API and functions Files

Package details
Author	Nicolas Le Moine [aut], Celine Monteil [aut], Frederic Hendrickx [ctb], Fabrice Zaoui [aut, cre], Alban de Lavenne [ctb]
Maintainer	Fabrice Zaoui <fabrice.zaoui@edf.fr>
License	GPL-3 \| file LICENSE
Version	1.4
URL	https://github.com/fzao/caRamel
Package repository	View on CRAN
Installation	Install the latest version of this package by entering the following in R: `install.packages("caRamel")`