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>.
copied from cf-staging / r-deoptimr
conda install conda-forge::r-deoptimrconda install conda-forge/label/cf201901::r-deoptimrconda install conda-forge/label/cf202003::r-deoptimrconda install conda-forge/label/gcc7::r-deoptimr