miesmuschel: Mixed Integer Evolution Strategies

Evolutionary black box optimization algorithms building on the 'bbotk' package. 'miesmuschel' offers both ready-to-use optimization algorithms, as well as their fundamental building blocks that can be used to manually construct specialized optimization loops. The Mixed Integer Evolution Strategies as described by Li et al. (2013) <doi:10.1162/EVCO_a_00059> can be implemented, as well as the multi-objective optimization algorithms NSGA-II by Deb, Pratap, Agarwal, and Meyarivan (2002) <doi:10.1109/4235.996017>.

Version:	0.0.4-3
Depends:	paradox (≥ 0.7.1)
Imports:	mlr3misc (≥ 0.5.0), checkmate (≥ 1.9.0), R6, bbotk (≥ 0.3.0.900), data.table, matrixStats, lgr
Suggests:	tinytest, mlr3tuning, mlr3, mlr3learners, ranger, xgboost, rpart
Published:	2025-03-19
DOI:	10.32614/CRAN.package.miesmuschel
Author:	Martin Binder [aut, cre], Lennart Schneider [ctb], Susanne Dandl [ctb], Andreas Hofheinz [ctb]
Maintainer:	Martin Binder <mlr.developer at mb706.com>
BugReports:	https://github.com/mlr-org/miesmuschel/issues
License:	MIT + file LICENSE
URL:	https://github.com/mlr-org/miesmuschel
NeedsCompilation:	no
Materials:	README, NEWS
CRAN checks:	miesmuschel results

Documentation:

Reference manual:

miesmuschel.html , miesmuschel.pdf

Downloads:

Package source:	miesmuschel_0.0.4-3.tar.gz
Windows binaries:	r-devel: miesmuschel_0.0.4-3.zip, r-release: miesmuschel_0.0.4-3.zip, r-oldrel: miesmuschel_0.0.4-3.zip
macOS binaries:	r-release (arm64): miesmuschel_0.0.4-3.tgz, r-oldrel (arm64): miesmuschel_0.0.4-3.tgz, r-release (x86_64): miesmuschel_0.0.4-3.tgz, r-oldrel (x86_64): miesmuschel_0.0.4-3.tgz
Old sources:	miesmuschel archive

Reverse dependencies:

Reverse imports:	counterfactuals
Reverse suggests:	mlr3verse

Linking:

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