hmsr: Multipopulation Evolutionary Strategy HMS

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) <doi:10.1007/s11047-020-09836-w>.

Version: 1.0.1
Imports: GA, msm, methods, uuid, graphics
Suggests: testthat (≥ 3.0.0), ecr, filelock, parallel, doParallel, grDevices, smoof
Published: 2023-10-25
Author: Wojciech Achtelik [aut, cre], Marcin Kozubek [aut], Maciej Smołka ORCID iD [ths, aut] (Java original), AGH University of Kraków [cph]
Maintainer: Wojciech Achtelik <wachtelik at gmail.com>
BugReports: https://github.com/WojtAcht/hms/issues
License: MIT + file LICENSE
URL: https://wojtacht.github.io/hms/
NeedsCompilation: no
Materials: README NEWS
CRAN checks: hmsr results

Documentation:

Reference manual: hmsr.pdf

Downloads:

Package source: hmsr_1.0.1.tar.gz
Windows binaries: r-devel: hmsr_1.0.1.zip, r-release: hmsr_1.0.1.zip, r-oldrel: hmsr_1.0.1.zip
macOS binaries: r-release (arm64): hmsr_1.0.1.tgz, r-oldrel (arm64): hmsr_1.0.1.tgz, r-release (x86_64): hmsr_1.0.1.tgz
Old sources: hmsr archive

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