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)
|Author||Eduardo L. T. Conceicao [aut, cre], Martin Maechler [ctb]|
|Date of publication||2016-11-19 18:16:34|
|Maintainer||Eduardo L. T. Conceicao <email@example.com>|
|License||GPL (>= 2)|
|Package repository||View on CRAN|
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