<?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>Multipopulation Evolutionary Strategy HMS</dc:title>
  <dc:title>R package hmsr version 1.0.1</dc:title>
  <dc:description>
  The HMS (Hierarchic Memetic Strategy) is a composite global optimization
  strategy consisting of a multi-population evolutionary strategy and some
  auxiliary methods. The HMS makes use of a dynamically-evolving data structure
  that provides an organization among the component populations. It is a tree
  with a fixed maximal height and variable internal node degree. Each component
  population is governed by a particular evolutionary engine. This package
  provides a simple R implementation with examples of using different genetic
  algorithms as the population engines. References: J. Sawicki, M. Łoś,
  M. Smołka, J. Alvarez-Aramberri (2022) &lt;doi:10.1007/s11047-020-09836-w&gt;.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Imports: GA, msm, methods, uuid, graphics</dc:relation>
  <dc:relation>Suggests: testthat (&gt;= 3.0.0), ecr, filelock, parallel, doParallel,
grDevices, smoof</dc:relation>
  <dc:creator>Wojciech Achtelik &lt;wachtelik@gmail.com&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Wojciech Achtelik [aut, cre],
  Marcin Kozubek [aut],
  Maciej Smołka [ths, aut] (ORCID:
    &lt;https://orcid.org/0000-0002-3386-0555&gt;, Java original),
  AGH University of Kraków [cph]</dc:contributor>
  <dc:rights>MIT + file LICENSE (https://CRAN.R-project.org/package=hmsr/LICENSE)</dc:rights>
  <dc:date>2023-10-25</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=hmsr</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.hmsr</dc:identifier>
</oai_dc:dc>
