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:	1.1.1
Depends:	R (≥ 3.4.0)
Imports:	FNN, assertthat
Suggests:	smoof, scatterplot3d, MASS, grDevices, irace, testthat, knitr, rmarkdown, emoa, ggplot2, reshape2, pkgdown
Published:	2020-02-17
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 Fine tuning MOEADr using irace Testing New Operators using the MOEADr Package Defining Problems in the MOEADr Package Writing Extensions for the MOEADr Package

Downloads:

Package source:	MOEADr_1.1.1.tar.gz
Windows binaries:	r-devel: MOEADr_1.1.1.zip, r-release: MOEADr_1.1.1.zip, r-oldrel: MOEADr_1.1.1.zip
macOS binaries:	r-release (arm64): MOEADr_1.1.1.tgz, r-oldrel (arm64): MOEADr_1.1.1.tgz, r-release (x86_64): MOEADr_1.1.1.tgz, r-oldrel (x86_64): MOEADr_1.1.1.tgz
Old sources:	MOEADr archive

Reverse dependencies:

Reverse suggests:

CAISEr

Linking:

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