MOEADr: Component-Wise MOEA/D Implementation

Modular implementation of Multiobjective Evolutionary Algorithms based on Decomposition (MOEA/D) [Zhang and Li (2007), <doi:10.1109/TEVC.2007.892759>] for quick assembling and testing of new algorithmic components, as well as easy replication of published MOEA/D proposals. The full framework is documented in a paper published in the Journal of Statistical Software [<doi:10.18637/jss.v092.i06>].

Version:	1.1.3
Depends:	R (≥ 3.4.0)
Imports:	FNN, assertthat
Suggests:	smoof, scatterplot3d, MASS, grDevices, irace, testthat, knitr, rmarkdown, emoa, ggplot2, reshape2, pkgdown
Published:	2023-01-08
DOI:	10.32614/CRAN.package.MOEADr
Author:	Felipe Campelo [aut, cre], Lucas Batista [com], Claus Aranha [aut]
Maintainer:	Felipe Campelo <fcampelo at ufmg.br>
BugReports:	https://github.com/fcampelo/MOEADr/issues
License:	GPL-2
URL:	https://fcampelo.github.io/MOEADr/
NeedsCompilation:	no
Citation:	MOEADr citation info
Materials:	README NEWS
CRAN checks:	MOEADr results

Documentation:

Reference manual:	MOEADr.pdf
Vignettes:	Basic Usage of the MOEADr Package (source, R code) Fine tuning MOEADr using irace (source, R code) Testing New Operators using the MOEADr Package (source, R code) Defining Problems in the MOEADr Package (source, R code) Writing Extensions for the MOEADr Package (source)

Downloads:

Package source:	MOEADr_1.1.3.tar.gz
Windows binaries:	r-devel: MOEADr_1.1.3.zip, r-release: MOEADr_1.1.3.zip, r-oldrel: MOEADr_1.1.3.zip
macOS binaries:	r-release (arm64): MOEADr_1.1.3.tgz, r-oldrel (arm64): MOEADr_1.1.3.tgz, r-release (x86_64): MOEADr_1.1.3.tgz, r-oldrel (x86_64): MOEADr_1.1.3.tgz
Old sources:	MOEADr archive

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