A multiobjective optimization package based on K. Deb's algorithm and inspired in 'GA' package by Luca Scrucca (2017) <doi:10.32614/RJ-2017-008>. The 'rmoo' package is a framework for multi- and many-objective optimization, allowing to work with representation of real numbers, permutations and binaries, offering a high range of configurations.
Version: | 0.1.6 |
Depends: | R (≥ 2.10) |
Imports: | stats, utils, ecr, graphics, methods, grDevices, ggplot2, reshape2, dplyr, cdata, plotly |
Suggests: | testthat, covr, rgl |
Published: | 2021-02-05 |
Author: | Francisco Benitez [aut, cre],
Diego Pinto Roa |
Maintainer: | Francisco Benitez <benitezfj94 at gmail.com> |
BugReports: | https://github.com/Evolutionary-Optimization-Laboratory/rmoo/issues/ |
License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
URL: | https://github.com/Evolutionary-Optimization-Laboratory/rmoo/ |
NeedsCompilation: | no |
Language: | es |
Materials: | README |
In views: | Optimization |
CRAN checks: | rmoo results |
Reference manual: | rmoo.pdf |
Package source: | rmoo_0.1.6.tar.gz |
Windows binaries: | r-devel: rmoo_0.1.6.zip, r-release: rmoo_0.1.6.zip, r-oldrel: rmoo_0.1.6.zip |
macOS binaries: | r-release: rmoo_0.1.6.tgz, r-oldrel: rmoo_0.1.6.tgz |
Old sources: | rmoo archive |
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