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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 |
| 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 |
| 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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These binaries (installable software) and packages are in development.
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