Package: DEoptimR
Version: 1.0-8
Date: 2016-11-19
Title: Differential Evolution Optimization in Pure R
Authors@R: c(person("Eduardo L. T.", "Conceicao", role = c("aut", "cre"),
                    email = "mail@eduardoconceicao.org"),
             person("Martin", "Maechler", role = "ctb",
                    email = "maechler@stat.math.ethz.ch")
             )
Maintainer: Eduardo L. T. Conceicao <mail@eduardoconceicao.org>
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) <doi:10.1109/TEVC.2006.872133>.
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
Built: R 3.4.1; ; 2018-09-10 22:13:21 UTC; windows
