rmoo: Multi-Objective Optimization in R

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: 0.1.7
Depends: R (≥ 2.10)
Imports: stats, utils, ecr, graphics, methods, grDevices, ggplot2, reshape2, dplyr, cdata, plotly
Suggests: testthat, covr, rgl
Published: 2021-09-07
Author: Francisco Benitez [aut, cre], Diego Pinto Roa ORCID iD [aut]
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_0.1.7.tar.gz
Windows binaries: r-devel: rmoo_0.1.7.zip, r-release: rmoo_0.1.7.zip, r-oldrel: rmoo_0.1.7.zip
macOS binaries: r-release (arm64): rmoo_0.1.7.tgz, r-release (x86_64): rmoo_0.1.7.tgz, r-oldrel: rmoo_0.1.7.tgz
Old sources: rmoo archive


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