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rCMA  

R-to-Java Interface for 'CMA-ES'
View on CRAN: Click here


Download and install rCMA package within the R console
Install from CRAN:
install.packages("rCMA")

Install from Github:
library("remotes")
install_github("cran/rCMA")

Install by package version:
library("remotes")
install_version("rCMA", "1.1.1")



Attach the package and use:
library("rCMA")
Maintained by
Wolfgang Konen
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2013-03-01
Latest Update: 2022-06-24
Description:
Tool for providing access to the Java version 'CMAEvolutionStrategy' of Nikolaus Hansen. 'CMA-ES' is the Covariance Matrix Adaptation Evolution Strategy, see .
How to cite:
Wolfgang Konen (2013). rCMA: R-to-Java Interface for 'CMA-ES'. R package version 1.1.1, https://cran.r-project.org/web/packages/rCMA. Accessed 06 Nov. 2024.
Previous versions and publish date:
1.0.0 (2013-03-01 13:41), 1.1 (2015-04-30 20:51)
Other packages that cited rCMA R package
View rCMA citation profile
Other R packages that rCMA depends, imports, suggests or enhances
Complete documentation for rCMA
Functions, R codes and Examples using the rCMA R package
Some associated functions: cmaCalcFitness . cmaEvalMeanX . cmaInit . cmaNew . cmaOptimDP . cmaSamplePopulation . cmaSetDimension . cmaSetStopFitness . cmaUpdateDistribution . rCMA-package . 
Some associated R codes: cmaEvalMeanX.R . cmaGetters.R . rCMA.R .  Full rCMA package functions and examples
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