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) <https://doi.org/10.1109/TEVC.2006.872133>.

AuthorEduardo L. T. Conceicao [aut, cre], Martin Maechler [ctb]
Date of publication2016-11-22 10:42:56
MaintainerEduardo L. T. Conceicao <mail@eduardoconceicao.org>
LicenseGPL (>= 2)
Version1.0-8

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Files

DESCRIPTION
NAMESPACE
R
R/JDEoptim.R
build
build/partial.rdb
inst
inst/NEWS.Rd
inst/xtraR
inst/xtraR/opt-test-funs.R
man
man/JDEoptim.Rd
tests
tests/JDEoptim-tst.R

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