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 
[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:
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