Package: Jaya 0.1.9
Jaya: Jaya, a Gradient-Free Optimization Algorithm
Maximization or Minimization of a fitness function using Jaya Algorithm (JA). A population based method which repeatedly modifies a population of individual solutions. Capable of solving both constrained and unconstrained optimization problems. It does not contain any hyperparameters. For further details: R.V. Rao (2016) <doi:10.5267/j.ijiec.2015.8.004> .
Authors:
Jaya_0.1.9.tar.gz
Jaya_0.1.9.zip(r-4.5)Jaya_0.1.9.zip(r-4.4)Jaya_0.1.9.zip(r-4.3)
Jaya_0.1.9.tgz(r-4.4-any)Jaya_0.1.9.tgz(r-4.3-any)
Jaya_0.1.9.tar.gz(r-4.5-noble)Jaya_0.1.9.tar.gz(r-4.4-noble)
Jaya_0.1.9.tgz(r-4.4-emscripten)Jaya_0.1.9.tgz(r-4.3-emscripten)
Jaya.pdf |Jaya.html✨
Jaya/json (API)
| # Install 'Jaya' in R: |
| install.packages('Jaya', repos = c('https://neerajdhanraj.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/neerajdhanraj/jaya/issues
Last updated 5 years agofrom:f15a0fe96e. Checks:OK: 1 NOTE: 6. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 08 2024 |
| R-4.5-win | NOTE | Nov 08 2024 |
| R-4.5-linux | NOTE | Nov 08 2024 |
| R-4.4-win | NOTE | Nov 08 2024 |
| R-4.4-mac | NOTE | Nov 08 2024 |
| R-4.3-win | NOTE | Nov 08 2024 |
| R-4.3-mac | NOTE | Nov 08 2024 |
Exports:jaya
Dependencies:clicodetoolscrayonforeachGAiteratorsRcppRcppArmadillo
