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| -rw-r--r-- | gnu/packages/cran.scm | 36 |
1 files changed, 36 insertions, 0 deletions
diff --git a/gnu/packages/cran.scm b/gnu/packages/cran.scm index 9aa19dd2f5..ac0e160348 100644 --- a/gnu/packages/cran.scm +++ b/gnu/packages/cran.scm @@ -1215,6 +1215,42 @@ experiment that allows a generic to warn if any arguments passed in @code{...} are not used.") (license license:gpl3))) +(define-public r-ga + (package + (name "r-ga") + (version "3.2.2") + (source + (origin + (method url-fetch) + (uri (cran-uri "GA" version)) + (sha256 + (base32 "135z03lnbj44jihnk6dii5a684jmc666ncpdwyyi910vl4sccib2")))) + (properties `((upstream-name . "GA"))) + (build-system r-build-system) + (propagated-inputs + (list r-cli + r-crayon + r-foreach + r-iterators + r-rcpp + r-rcpparmadillo)) + (native-inputs + (list r-knitr)) + (home-page "https://luca-scr.github.io/GA/") + (synopsis "Genetic algorithms for stochastic optimisation") + (description + "Flexible general-purpose toolbox implementing genetic algorithms (GAs) +for stochastic optimisation. Binary, real-valued, and permutation +representations are available to optimize a fitness function, i.e., a function +provided by users depending on their objective function. Several genetic +operators are available and can be combined to explore the best settings for +the current task. Furthermore, users can define new genetic operators and +easily evaluate their performances. Local search using general-purpose +optimisation algorithms can be applied stochastically to exploit interesting +regions. GAs can be run sequentially or in parallel, using an explicit +master-slave parallelisation or a coarse-grain islands approach.") + (license license:gpl2+))) + (define-public r-grr (package (name "r-grr") |