bbotk: Black-Box Optimization Toolkit

Provides a common framework for optimization of black-box functions for other packages, e.g. 'mlr3tuning' or 'mlr3fselect'. It offers various optimization methods e.g. grid search, random search, generalized simulated annealing and iterated racing.

Version: 0.4.0
Depends: paradox (≥ 0.7.0), R (≥ 3.1.0)
Imports: checkmate (≥ 2.0.0), data.table, lgr, methods, mlr3misc (≥ 0.7.0), R6
Suggests: adagio, GenSA, irace, knitr, nloptr, progressr, rmarkdown, testthat (≥ 3.0.0)
Published: 2021-09-13
Author: Marc Becker ORCID iD [cre, aut], Jakob Richter ORCID iD [aut], Michel Lang ORCID iD [aut], Bernd Bischl ORCID iD [aut], Martin Binder [aut], Olaf Mersmann [ctb]
Maintainer: Marc Becker <marcbecker at>
License: LGPL-3
NeedsCompilation: yes
Language: en-US
Materials: README NEWS
CRAN checks: bbotk results


Reference manual: bbotk.pdf
Vignettes: bbotk: A brief introduction


Package source: bbotk_0.4.0.tar.gz
Windows binaries: r-devel:, r-devel-UCRT:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): bbotk_0.4.0.tgz, r-release (x86_64): bbotk_0.4.0.tgz, r-oldrel: bbotk_0.4.0.tgz
Old sources: bbotk archive

Reverse dependencies:

Reverse imports: mlr3fselect, mlr3hyperband, mlr3tuning, mlr3verse, mlrintermbo, sense
Reverse suggests: DoubleML, mlr3pipelines, mlr3spatiotempcv, mlr3viz


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