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2021-09-19(math/R-DEoptimR) Updated 1.0.8 to 1.0.9, NEWS not updatedmef1-3/+2
2019-08-09R-DEoptimR: initial commitbrook1-0/+14
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>.