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>
License: GPL-2
NeedsCompilation: no
Citation: MOEADr citation info
Materials: README NEWS
CRAN checks: MOEADr results


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


Package source: MOEADr_1.1.3.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
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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