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| -rw-r--r-- | gnu/packages/cran.scm | 25 |
1 files changed, 25 insertions, 0 deletions
diff --git a/gnu/packages/cran.scm b/gnu/packages/cran.scm index 76f0359312..016d1b1e41 100644 --- a/gnu/packages/cran.scm +++ b/gnu/packages/cran.scm @@ -4963,3 +4963,28 @@ and make comparisons between different methodologies straightforward.") "This package implements various measures of information theory based on several entropy estimators.") (license license:gpl3+))) + +(define-public r-abcoptim + (package + (name "r-abcoptim") + (version "0.15.0") + (source + (origin + (method url-fetch) + (uri (cran-uri "ABCoptim" version)) + (sha256 + (base32 "1ih0xk88qhsmpvnxf56041wx5sk8as2f4f2gdnpnwdym9mbr9n4b")))) + (properties `((upstream-name . "ABCoptim"))) + (build-system r-build-system) + (propagated-inputs `(("r-rcpp" ,r-rcpp))) + (home-page "https://github.com/gvegayon/ABCoptim/") + (synopsis "Optimization of Artificial Bee Colony algorithm") + (description + "Artificial Bee Colony (ABC) is one of the most recently defined algorithms by Dervis +Karaboga in 2005, motivated by the intelligent behavior of honey bees. It is as +simple as Particle Swarm Optimization (PSO) and Differential Evolution (DE) +algorithms, and uses only common control parameters such as colony size and +maximum cycle number. The @code{r-abcoptim} implements the Artificial bee +colony optimization algorithm @url{http://mf.erciyes.edu.tr/abc/pub/tr06_2005.pdf}. + This version is a work-in-progress and is written in R code.") + (license license:expat))) |