Tools and features for "Exploratory Landscape Analysis (ELA)" of single-objective continuous optimization problems. Those features are able to quantify rather complex properties, such as the global structure, separability, etc., of the optimization problems.
Version: | 1.8 |
Depends: | R (≥ 3.0.0) |
Imports: | BBmisc, checkmate, mlr |
Suggests: | devtools, e1071, ggplot2, lhs, MASS, Matrix, mda, mlbench, numDeriv, parallel, parallelMap, ParamHelpers, plotly, plyr, RANN, R.rsp, rpart, shape, shiny, smoof, testthat |
Published: | 2020-03-31 |
Author: | Pascal Kerschke [aut, cre], Christian Hanster [ctb], Jan Dagefoerde [ctb] |
Maintainer: | Pascal Kerschke <kerschke at uni-muenster.de> |
BugReports: | https://github.com/kerschke/flacco/issues |
License: | BSD_2_clause + file LICENSE |
URL: | https://github.com/kerschke/flacco |
NeedsCompilation: | no |
Citation: | flacco citation info |
Materials: | NEWS |
In views: | Optimization |
CRAN checks: | flacco results |
Reference manual: | flacco.pdf |
Vignettes: |
flacco |
Package source: | flacco_1.8.tar.gz |
Windows binaries: | r-devel: flacco_1.8.zip, r-release: flacco_1.8.zip, r-oldrel: flacco_1.8.zip |
macOS binaries: | r-release: flacco_1.8.tgz, r-oldrel: flacco_1.8.tgz |
Old sources: | flacco archive |
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