DEoptimR: Differential Evolution Optimization in Pure R

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>.

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Package details

AuthorEduardo L. T. Conceicao [aut, cre], Martin Maechler [ctb]
MaintainerEduardo L. T. Conceicao <>
LicenseGPL (>= 2)
Package repositoryView on CRAN
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DEoptimR documentation built on May 1, 2019, 8:28 p.m.