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flacco: Feature-Based Landscape Analysis of Continuous and Constrained Optimization Problems

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
DOI: 10.32614/CRAN.package.flacco
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

Documentation:

Reference manual: flacco.pdf
Vignettes: flacco

Downloads:

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 (arm64): flacco_1.8.tgz, r-oldrel (arm64): flacco_1.8.tgz, r-release (x86_64): flacco_1.8.tgz, r-oldrel (x86_64): flacco_1.8.tgz
Old sources: flacco archive

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.