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-rw-r--r--gnu/packages/cran.scm25
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)))