Differential Evolution (DE) stochastic algorithms for global optimization of problems with and without constraints. The aim is to curate a collection of its state-of-the-art variants that (1) do not sacrifice simplicity of design, (2) are essentially tuning-free, and (3) can be efficiently implemented directly in the R language. Currently, it only provides an implementation of the ‘jDE’ algorithm by Brest et al. (2006) <doi:10.1109/TEVC.2006.872133>.

Home https://CRAN.R-project.org/package=DEoptimR
Versions 1.0_6, 1.0_8
License GPL (>= 2)
Recipe https://github.com/bioconda/bioconda-recipes/tree/master/recipes/r-deoptimr


With an activated Bioconda channel (see 2. Set up channels), install with:

conda install r-deoptimr

and update with:

conda update r-deoptimr


A Docker container is available at https://quay.io/repository/biocontainers/r-deoptimr.