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 in this package

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

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