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: | 1.1-4 |
| Imports: | stats |
| Enhances: | robustbase |
| Published: | 2025-07-27 |
| 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 |
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