CRAN/E | miesmuschel

miesmuschel

Mixed Integer Evolution Strategies

Installation

About

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.

github.com/mlr-org/miesmuschel
Bug report File report

Key Metrics

Version 0.0.3
Published 2023-02-03 450 days ago
Needs compilation? no
License MIT
License File
CRAN checks miesmuschel results

Downloads

Yesterday 36 0%
Last 7 days 165 +109%
Last 30 days 414 +25%
Last 90 days 1.088 -9%
Last 365 days 4.241 +116%

Maintainer

Maintainer

Martin Binder

mlr.developer@mb706.com

Authors

Martin Binder

aut / cre

Lennart Schneider

ctb

Susanne Dandl

ctb

Andreas Hofheinz

ctb

Material

README
NEWS
Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

miesmuschel archive

Depends

paradox ≥ 0.7.1

Imports

mlr3misc ≥ 0.5.0
checkmate ≥ 1.9.0
R6
bbotk ≥0.3.0.900
data.table
matrixStats
lgr

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