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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Description file content

Package
DEoptimR
Version
1.0-8
Date
2016-11-19
Title
Differential Evolution Optimization in Pure R
Maintainer
Eduardo L. T. Conceicao
Description
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) .
Imports
stats
Enhances
robustbase
License
GPL (>= 2)
ByteCompile
yes
Author
Eduardo L. T. Conceicao [aut, cre], Martin Maechler [ctb]
Repository
CRAN
Repository/R-Forge/Project
robustbase
Repository/R-Forge/Revision
746
Repository/R-Forge/DateTimeStamp
2016-11-19 14:54:56
Date/Publication
2016-11-19 18:16:34
NeedsCompilation
no
Packaged
2016-11-19 15:06:00 UTC; rforge

install.packages('DEoptimR')

1.0-8

02 years ago

Eduardo L. T. Conceicao

GPL (>= 2)

Imports

stats

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