https://github.com/achubaty/deoptim

Differential evoluation in R

https://github.com/achubaty/deoptim

Science Score: 13.0%

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Repository

Differential evoluation in R

Basic Info
  • Host: GitHub
  • Owner: achubaty
  • License: gpl-2.0
  • Language: C
  • Default Branch: master
  • Size: 3.64 MB
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  • Stars: 1
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Fork of ArdiaD/DEoptim
Created over 7 years ago · Last pushed over 7 years ago

https://github.com/achubaty/DEoptim/blob/master/

# DEoptim
Differential evolution in R

[![CRAN](http://www.r-pkg.org/badges/version/DEoptim)](https://cran.r-project.org/package=DEoptim) 
[![Downloads](http://cranlogs.r-pkg.org/badges/DEoptim?color=brightgreen)](http://www.r-pkg.org/pkg/DEoptim)
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`DEoptim` (Ardia et al., 20xx) implements the Differential Evolution algorithm for global optimization of a real-valued function of a
real-valued parameter vector. The implementation of Differential Evolution in DEoptim interfaces with C
code for efficiency.  Moreover, the package is self-contained and does not depend on any other packages.

The latest stable version of `DEoptim` is available at 'https://cran.r-project.org/package=DEoptim'.

The latest development version of `DEoptim` is available at 'https://github.com/ArdiaD/DEoptim'.

Please cite `DEoptim` in publications:

Ardia, D., Mullen, K., Peterson, B.G., Ulrich, J. (20xx).  
_DEoptim: Differential Evolution in R_.  
R package 

Ardia, D., Boudt, K., Carl, P., Mullen, K., Peterson, B.G. (2010).  
Differential Evolution with DEoptim: An application to non-convex portfolio optimization.  
_R Journal_ **3**(1), pp.27-34.  
https://journal.r-project.org/archive/2011-1/  

Mullen, K., Ardia, D., Gil, D., Windover, D., Cline, J. (2011).  
DEoptim: An R package for global optimization by Differential Evolution.  
_Journal of Statistical Software_ **40**(6), pp.1-26.  
http://dx.doi.org/10.18637/jss.v040.i06  

Owner

  • Name: Alex Chubaty
  • Login: achubaty
  • Kind: user
  • Location: Calgary, AB
  • Company: @FOR-CAST

Ecologist and simulation modeller, developing landscape-level models of insect dispersal and forest disturbance.

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