DEoptimR: 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) <doi:10.1109/TEVC.2006.872133>.
| Version: |
1.0-8 |
| Imports: |
stats |
| Enhances: |
robustbase |
| Published: |
2016-11-19 |
| Author: |
Eduardo L. T. Conceicao [aut, cre],
Martin Maechler [ctb] |
| Maintainer: |
Eduardo L. T. Conceicao <mail at eduardoconceicao.org> |
| License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: |
no |
| Materials: |
NEWS |
| In views: |
Optimization |
| CRAN checks: |
DEoptimR results |
Downloads:
Reverse dependencies:
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