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 |
| Imports: | stats |
| Enhances: | robustbase |
| Published: | 2023-10-07 |
| 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)] |
| NeedsCompilation: | no |
| Materials: | NEWS |
| In views: | Optimization |
| CRAN checks: | DEoptimR results |
Documentation:
| Reference manual: | DEoptimR.pdf |
Downloads:
| Package source: | DEoptimR_1.1-3.tar.gz |
| Windows binaries: | r-devel: DEoptimR_1.1-3.zip, r-release: DEoptimR_1.1-3.zip, r-oldrel: DEoptimR_1.1-3.zip |
| macOS binaries: | r-release (arm64): DEoptimR_1.1-3.tgz, r-oldrel (arm64): DEoptimR_1.1-3.tgz, r-release (x86_64): DEoptimR_1.1-3.tgz, r-oldrel (x86_64): DEoptimR_1.1-3.tgz |
| Old sources: | DEoptimR archive |
Reverse dependencies:
| Reverse depends: | RobustAFT |
| Reverse imports: | dtangle, OssaNMA, robustbase, ROI.plugin.deoptim |
| Reverse suggests: | ADMUR, cxr, MSCMT |
Linking:
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