Package: Jaya 1.0.3

Jaya: Gradient-Free Optimization Algorithm for Single and Multi-Objective Problems

An implementation of the Jaya optimization algorithm for both single-objective and multi-objective problems. Jaya is a population-based, gradient-free optimization algorithm capable of solving constrained and unconstrained optimization problems without hyperparameters. This package includes features such as multi-objective Pareto optimization, adaptive population adjustment, and early stopping. For further details, see R.V. Rao (2016) <doi:10.5267/j.ijiec.2015.8.004>.

Authors:Neeraj Bokde [aut, cre]

Jaya_1.0.3.tar.gz
Jaya_1.0.3.zip(r-4.7)Jaya_1.0.3.zip(r-4.6)Jaya_1.0.3.zip(r-4.5)
Jaya_1.0.3.tgz(r-4.6-any)Jaya_1.0.3.tgz(r-4.5-any)
Jaya_1.0.3.tar.gz(r-4.7-any)Jaya_1.0.3.tar.gz(r-4.6-any)
Jaya_1.0.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
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

On CRAN:

Conda:

3.78 score 2 stars 10 scripts 580 downloads 3 mentions 3 exports 0 dependencies

Last updated from:82d24e9688. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK123
source / vignettesOK143
linux-release-x86_64OK114
macos-release-arm64OK73
macos-oldrel-arm64OK71
windows-develOK135
windows-releaseOK86
windows-oldrelOK87
wasm-releaseOK91

Exports:jayajaya_multiplot_jaya_multi_pairwise

Dependencies:

Optimizing with Jaya: A Vignette

Rendered fromJaya_Usage.Rmdusingknitr::rmarkdownon May 16 2026.

Last update: 2024-11-18
Started: 2024-11-18