| Age | Commit message (Collapse) | Author | Files | Lines | |
|---|---|---|---|---|---|
| 2021-09-19 | (math/R-DEoptimR) Updated 1.0.8 to 1.0.9, NEWS not updated | mef | 1 | -3/+2 | |
| 2019-08-09 | R-DEoptimR: initial commit | brook | 1 | -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>. | |||||
