An adaptation of Non-dominated Sorting Genetic Algorithm III for multi objective feature selection tasks. Non-dominated Sorting Genetic Algorithm III is a genetic algorithm that solves multiple optimization problems simultaneously by applying a non-dominated sorting technique. It uses a reference points based selection operator to explore solution space and preserve diversity. See the original paper by K. Deb and H. Jain (2014) <doi:10.1109/TEVC.2013.2281534> for a detailed description.
| Version: | 0.0.3 |
| Depends: | R (≥ 2.10.0) |
| Imports: | mlr, parallelMap, rPref, xgboost |
| Suggests: | testthat, knitr, rmarkdown |
| Published: | 2019-02-18 |
| Author: | Artem Shramko |
| Maintainer: | Artem Shramko <art.shramko at gmail.com> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| CRAN checks: | nsga3 results |
| Reference manual: | nsga3.pdf |
| Package source: | nsga3_0.0.3.tar.gz |
| Windows binaries: | r-devel: nsga3_0.0.3.zip, r-release: nsga3_0.0.3.zip, r-oldrel: nsga3_0.0.3.zip |
| macOS binaries: | r-release: nsga3_0.0.3.tgz, r-oldrel: nsga3_0.0.3.tgz |
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