DEoptimR (1.0-8)

0 users

Differential Evolution Optimization in Pure R.

Differential Evolution (DE) stochastic algorithms for global optimization of problems with and without constraints. The aim is to curate a collection of its state-of-the-art variants that (1) do not sacrifice simplicity of design, (2) are essentially tuning-free, and (3) can be efficiently implemented directly in the R language. Currently, it only provides an implementation of the 'jDE' algorithm by Brest et al. (2006) .

Maintainer: Eduardo L. T. Conceicao
Author(s): Eduardo L. T. Conceicao [aut, cre], Martin Maechler [ctb]

License: GPL (>= 2)

Uses: Does not use any package
Enhances: robustbase
Reverse suggests: MSCMT

Released over 3 years ago.

5 previous versions



  (0 votes)


  (0 votes)

Log in to vote.


No one has written a review of DEoptimR yet. Want to be the first? Write one now.

Related packages: DEoptim, LowRankQP, TSP, boot, bvls, clue, desirability, gafit, genalg, glpk, gsl, igraph, kernlab, linprog, lpSolve, minpack.lm, nls2, nnls, optmatch, powell(20 best matches, based on common tags.)

Search for DEoptimR on google, google scholar, r-help, r-devel.

Visit DEoptimR on R Graphical Manual.