Framework for building evolutionary algorithms for both single- and multi-objective continuous or discrete optimization problems. A set of predefined evolutionary building blocks and operators is included. Moreover, the user can easily set up custom objective functions, operators, building blocks and representations sticking to few conventions. The package allows both a black-box approach for standard tasks (plug-and-play style) and a much more flexible white-box approach where the evolutionary cycle is written by hand.
Version: | 2.1.1 |
Depends: | R (≥ 2.10), BBmisc (≥ 1.6), smoof (≥ 1.4), ParamHelpers (≥ 1.1) |
Imports: | checkmate (≥ 1.1), Rcpp (≥ 0.12.16), parallelMap (≥ 1.3), reshape2 (≥ 1.4.1), ggplot2 (≥ 1.0.0), viridis, dplyr, plot3D, plot3Drgl, scatterplot3d, plotly, knitr, kableExtra, lazyeval |
LinkingTo: | Rcpp |
Suggests: | testthat (≥ 0.9.1), rmarkdown, mlr, mlbench, randomForest, covr |
Published: | 2023-03-08 |
DOI: | 10.32614/CRAN.package.ecr |
Author: | Jakob Bossek [aut, cre, cph], Michael H. Buselli [ctb, cph], Wessel Dankers [ctb, cph], Carlos M. Fonseca [ctb, cph], Manuel Lopez-Ibanez [ctb, cph], Luis Paquete [ctb, cph], Joshua Knowles [ctb, cph], Eckart Zitzler [ctb, cph], Olaf Mersmann [ctb] |
Maintainer: | Jakob Bossek <j.bossek at gmail.com> |
BugReports: | https://github.com/jakobbossek/ecr2/issues |
License: | GPL-3 |
URL: | https://github.com/jakobbossek/ecr2 |
NeedsCompilation: | yes |
Citation: | ecr citation info |
Materials: | NEWS |
In views: | Optimization |
CRAN checks: | ecr results |
Reference manual: | ecr.pdf |
Vignettes: |
Brief introduction to ecr Multi-Objective Evolutionary Algorithms |
Package source: | ecr_2.1.1.tar.gz |
Windows binaries: | r-devel: ecr_2.1.1.zip, r-release: ecr_2.1.1.zip, r-oldrel: ecr_2.1.1.zip |
macOS binaries: | r-release (arm64): ecr_2.1.1.tgz, r-oldrel (arm64): ecr_2.1.1.tgz, r-release (x86_64): ecr_2.1.1.tgz, r-oldrel (x86_64): ecr_2.1.1.tgz |
Old sources: | ecr archive |
Reverse depends: | mcMST |
Reverse suggests: | hmsr, rmoo |
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