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) <https://doi.org/10.1109/TEVC.2006.872133>.
|Author||Eduardo L. T. Conceicao [aut, cre], Martin Maechler [ctb]|
|Date of publication||2016-11-22 10:42:56|
|Maintainer||Eduardo L. T. Conceicao <firstname.lastname@example.org>|
|License||GPL (>= 2)|
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