<?xml version="1.0" encoding="UTF-8"?>
<oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:title>R Interface to 'libcmaes'</dc:title>
  <dc:title>R package libcmaesr version 0.1.0</dc:title>
  <dc:description>A lightweight interface to the 'libcmaes' C++ library for the
  Covariance Matrix Adaptation Evolution Strategy (CMA-ES). CMA-ES is a
  state-of-the-art evolutionary algorithm for the optimization of difficult
  non-linear, non-convex black-box functions, as described in Hansen and
  Ostermeier (2001) &lt;doi:10.1162/106365601750190398&gt;. Supports the active,
  separable, and VD (diagonal plus rank-one covariance) variants of the
  algorithm as well as the IPOP (increasing population size) and BIPOP
  (bi-population) restart strategies. A patched copy of 'libcmaes'
  (LGPL &gt;= 3) is bundled; see the COPYRIGHTS file for details.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 4.2.0)</dc:relation>
  <dc:relation>Imports: checkmate, mlr3misc, stats</dc:relation>
  <dc:relation>LinkingTo: RcppEigen</dc:relation>
  <dc:relation>Suggests: testthat (&gt;= 3.0.0), callr</dc:relation>
  <dc:creator>Marc Becker &lt;marcbecker@posteo.de&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Marc Becker [aut, cre, cph] (ORCID:
    &lt;https://orcid.org/0000-0002-8115-0400&gt;),
  Bernd Bischl [aut] (ORCID: &lt;https://orcid.org/0000-0001-6002-6980&gt;),
  Martin Binder [aut],
  Lars Kotthoff [aut],
  Emmanuel Benazera [ctb, cph] (author of the bundled 'libcmaes' library),
  Inria [cph] (copyright holder of parts of the bundled 'libcmaes'
    library)</dc:contributor>
  <dc:rights>LGPL (&gt;= 3)</dc:rights>
  <dc:date>2026-08-07</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=libcmaesr</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.libcmaesr</dc:identifier>
  <dc:language>en-US</dc:language>
</oai_dc:dc>
