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:Mayur Shende [aut], Neeraj Bokde [aut, cre]

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'))

Peer review:

Bug tracker:https://github.com/neerajdhanraj/jaya/issues

On CRAN:

1 exports 1.39 score 8 dependencies 3 mentions 3 scripts 143 downloads

Last updated 5 years agofrom:f15a0fe96e. Checks:OK: 1 NOTE: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 09 2024
R-4.5-winNOTESep 09 2024
R-4.5-linuxNOTESep 09 2024
R-4.4-winNOTESep 09 2024
R-4.4-macNOTESep 09 2024
R-4.3-winNOTESep 09 2024
R-4.3-macNOTESep 09 2024

Exports:jaya

Dependencies:clicodetoolscrayonforeachGAiteratorsRcppRcppArmadillo

A guide to Jaya Package

Rendered fromA_guide_to_JA.Rmdusingknitr::rmarkdownon Sep 09 2024.

Last update: 2019-11-12
Started: 2019-11-12