nsga3: An Implementation of Non-Dominated Sorting Genetic Algorithm III for Feature Selection

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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