Package: DEoptimR 1.2-2
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).
Authors:
DEoptimR_1.2-2.tar.gz
DEoptimR_1.2-2.zip(r-4.7-any)DEoptimR_1.2-2.zip(r-4.6-any)DEoptimR_1.2-2.zip(r-4.5-any)
DEoptimR_1.2-2.tgz(r-4.6-any)DEoptimR_1.2-2.tgz(r-4.5-any)
DEoptimR_1.2-2.tar.gz(r-4.7-any)DEoptimR_1.2-2.tar.gz(r-4.6-any)
DEoptimR_1.2-2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
DEoptimR/json (API)
| # Install 'DEoptimR' in R: |
| install.packages('DEoptimR', repos = c('https://eduardotrincaoconceicao.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:966323d7b7. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 141 | ||
| source / vignettes | OK | 144 | ||
| linux-release | OK | 114 | ||
| macos-release | OK | 99 | ||
| macos-oldrel | OK | 78 | ||
| windows-devel | OK | 70 | ||
| windows-release | OK | 61 | ||
| windows-oldrel | OK | 124 | ||
| wasm-release | OK | 93 |
Exports:JDEoptimNCDEoptimSPJDEoptim
Dependencies:
