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 |
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_1.1.1.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: MOEADr_1.1.1.tgz, r-oldrel: MOEADr_1.1.1.tgz |
Old sources: | MOEADr archive |
Reverse suggests: | CAISEr |
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