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>.

Version: 1.0-8
Imports: stats
Enhances: robustbase
Published: 2016-11-19
Author: Eduardo L. T. Conceicao [aut, cre], Martin Maechler [ctb]
Maintainer: Eduardo L. T. Conceicao <mail at eduardoconceicao.org>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Materials: NEWS
In views: Optimization
CRAN checks: DEoptimR results

Downloads:

Reference manual: DEoptimR.pdf
Package source: DEoptimR_1.0-8.tar.gz
Windows binaries: r-devel: DEoptimR_1.0-8.zip, r-release: DEoptimR_1.0-8.zip, r-oldrel: DEoptimR_1.0-8.zip
OS X Mavericks binaries: r-release: DEoptimR_1.0-8.tgz, r-oldrel: DEoptimR_1.0-8.tgz
Old sources: DEoptimR archive

Reverse dependencies:

Reverse imports: robustbase
Reverse suggests: MSCMT

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