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 |
| DOI: | 10.32614/CRAN.package.hmsr |
| Author: | Wojciech Achtelik [aut, cre], Marcin Kozubek [aut], Maciej Smołka [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 + fileLICENSE |
| URL: | https://wojtacht.github.io/hms/ |
| NeedsCompilation: | no |
| Materials: | README,NEWS |
| CRAN checks: | hmsr results |
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