DEoptimR: Differential Evolution Optimization in Pure R
Differential Evolution (DE) stochastic heuristic algorithms for
global optimization of problems with and without general constraints.
The aim is to curate a collection of its 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 provides implementations of the algorithms 'jDE' by
Brest et al. (2006) <doi:10.1109/TEVC.2006.872133> for single-objective
optimization and 'NCDE' by Qu et al. (2012) <doi:10.1109/TEVC.2011.2161873>
for multimodal optimization (single-objective problems with
multiple solutions).
| Version: |
1.1-3-1 |
| Imports: |
stats |
| Enhances: |
robustbase |
| Published: |
2024-11-23 |
| DOI: |
10.32614/CRAN.package.DEoptimR |
| 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)] |
| URL: |
svn://svn.r-forge.r-project.org/svnroot/robustbase/pkg/DEoptimR |
| NeedsCompilation: |
no |
| Materials: |
NEWS |
| In views: |
Optimization |
| CRAN checks: |
DEoptimR results |
Documentation:
Downloads:
Reverse dependencies:
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