rmoo: Multi-Objective Optimization in R

The 'rmoo' package is a framework for multi- and many-objective optimization, which allows researchers and users versatility in parameter configuration, as well as tools for analysis, replication and visualization of results. The 'rmoo' package was built as a fork of the 'GA' package by Luca Scrucca(2017) <doi:10.32614/RJ-2017-008> and implementing the Non-Dominated Sorting Genetic Algorithms proposed by K. Deb's.

Version:	0.2.0
Depends:	R (≥ 2.10)
Imports:	stats, utils, graphics, methods, GA, grDevices, ggplot2, plotly
Suggests:	testthat, covr, rgl, ecr, emoa, cdata, dplyr, reshape2
Published:	2022-09-24
DOI:	10.32614/CRAN.package.rmoo
Author:	Francisco Benitez [aut, cre], Diego Pinto Roa [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

Documentation:

Reference manual:

rmoo.pdf

Downloads:

Package source:	rmoo_0.2.0.tar.gz
Windows binaries:	r-devel: rmoo_0.2.0.zip, r-release: rmoo_0.2.0.zip, r-oldrel: rmoo_0.2.0.zip
macOS binaries:	r-release (arm64): rmoo_0.2.0.tgz, r-oldrel (arm64): rmoo_0.2.0.tgz, r-release (x86_64): rmoo_0.2.0.tgz, r-oldrel (x86_64): rmoo_0.2.0.tgz
Old sources:	rmoo archive

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