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:
Downloads:
Reverse dependencies:
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