Package: rCMA 1.1.1

rCMA: R-to-Java Interface for 'CMA-ES'

Tool for providing access to the Java version 'CMAEvolutionStrategy' of Nikolaus Hansen. 'CMA-ES' is the Covariance Matrix Adaptation Evolution Strategy, see <https://www.lri.fr/~hansen/cmaes_inmatlab.html#java>.

Authors:Wolfgang Konen <[email protected]>, Nikolaus Hansen <hansen .AT. lri.fr>

rCMA_1.1.1.tar.gz
rCMA_1.1.1.zip(r-4.5)rCMA_1.1.1.zip(r-4.4)rCMA_1.1.1.zip(r-4.3)
rCMA_1.1.1.tgz(r-4.4-any)rCMA_1.1.1.tgz(r-4.3-any)
rCMA_1.1.1.tar.gz(r-4.5-noble)rCMA_1.1.1.tar.gz(r-4.4-noble)
rCMA_1.1.1.tgz(r-4.4-emscripten)rCMA_1.1.1.tgz(r-4.3-emscripten)
rCMA.pdf |rCMA.html
rCMA/json (API)

# Install 'rCMA' in R:
install.packages('rCMA', repos = c('https://wolfgangkonen.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.56 score 1 packages 12 scripts 378 downloads 1 mentions 18 exports 0 dependencies

Last updated 2 years agofrom:682ad4f688. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 14 2024
R-4.5-winOKNov 14 2024
R-4.5-linuxOKNov 14 2024
R-4.4-winOKNov 14 2024
R-4.4-macOKNov 14 2024
R-4.3-winOKNov 14 2024
R-4.3-macOKNov 14 2024

Exports:cmaCalcFitnesscmaEvalMeanXcmaGetCountEvalcmaGetDimensioncmaGetInitialXcmaGetPopulationSizecmaInitcmaNewcmaOptimDPcmaSamplePopulationcmaSetCountEvalcmaSetDimensioncmaSetInitialXcmaSetPopulationSizecmaSetStopFitnesscmaSetStopMaxFunEvalscmaSetStopTolFuncmaUpdateDistribution

Dependencies:

Readme and manuals

Help Manual

Help pageTopics
R interface to the Java CMA-ES of Niko HansenrCMA-package rCMA
Calculate the fitness of a population.cmaCalcFitness
Evaluate the meanX of the current population.cmaEvalMeanX
Initialize a CMA-ES Java object.cmaInit
Create a new CMA-ES Java object.cmaNew
Perform a CMA-ES optimization with constraints (DP).cmaOptimDP
Sample a population from the current CMA-ES distribution.cmaSamplePopulation
rCMA Getters and Setters.cmaGetCountEval cmaGetDimension cmaGetInitialX cmaGetPopulationSize cmaSetCountEval cmaSetDimension cmaSetInitialX cmaSetPopulationSize
rCMA Stop Conditions.cmaSetStopFitness cmaSetStopMaxFunEvals cmaSetStopTolFun
Update CMA-ES distribution with the fitness vector of the last population.cmaUpdateDistribution