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Provides the functions of the Genetic Algorithm Toolbox for 'MATLAB' developed at the University of Sheffield (Chipperfield et al. 1994, <https://github.com/UoS-CODeM/GA-Toolbox>), rewritten in R. It includes operators for creating binary, integer and real-valued populations, rank-based and linear fitness assignment, roulette wheel and stochastic universal sampling selection, single-point, multi-point, shuffle and reduced surrogate crossover, discrete, intermediate and line recombination, discrete and breeder genetic algorithm mutation, reinsertion of offspring, and migration between subpopulations.
| Version: | 0.2.0 |
| Depends: | R (≥ 3.5.0) |
| Imports: | stats |
| Suggests: | spelling, testthat (≥ 3.0.0) |
| Published: | 2026-11-13 |
| DOI: | 10.32614/CRAN.package.gatbxr (may not be active yet) |
| Author: | Liang Zhao [aut, cre, trl] (R implementation), Andrew Chipperfield [aut, cph] (Author of the original 'MATLAB' toolbox), Peter Fleming [aut, cph] (Author of the original 'MATLAB' toolbox), Hartmut Pohlheim [aut, cph] (Author of the original 'MATLAB' toolbox), Carlos Fonseca [aut, cph] (Author of the original 'MATLAB' toolbox), Alex Shenfield [ctb] (Tested the original 'MATLAB' toolbox), The University of Sheffield [cph] (Copyright holder of the original 'MATLAB' toolbox) |
| Maintainer: | Liang Zhao <wethenwethen at gmail.com> |
| BugReports: | https://github.com/drizztxx/gatbxr/issues |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: | https://github.com/drizztxx/gatbxr |
| NeedsCompilation: | no |
| Language: | en-GB |
| Materials: | README, NEWS |
| CRAN checks: | gatbxr results |
| Reference manual: | gatbxr.html , gatbxr.pdf |
| Package source: | gatbxr_0.2.0.tar.gz |
| Windows binaries: | r-devel: not available, r-release: gatbxr_0.2.0.zip, r-oldrel: gatbxr_0.2.0.zip |
| macOS binaries: | r-release (arm64): gatbxr_0.2.0.tgz, r-oldrel (arm64): gatbxr_0.2.0.tgz, r-release (x86_64): gatbxr_0.2.0.tgz, r-oldrel (x86_64): gatbxr_0.2.0.tgz |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.