Package: Jaya 1.0.3

Neeraj Bokde

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.tar.gz(r-4.5-noble)Jaya_1.0.3.tar.gz(r-4.4-noble)
Jaya_1.0.3.tgz(r-4.4-emscripten)Jaya_1.0.3.tgz(r-4.3-emscripten)
Jaya.pdf |Jaya.html✨
Jaya/json (API)

# Install 'Jaya' in R:
install.packages('Jaya', repos = 'https://cloud.r-project.org')

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

On CRAN:

Conda:

2.48 score 520 downloads 3 mentions 3 exports 0 dependencies

Last updated 5 months agofrom:82d24e9688. Checks:3 OK. Indexed: no.

TargetResultLatest binary
Doc / VignettesOKMar 19 2025
R-4.5-linuxOKMar 19 2025
R-4.4-linuxOKMar 19 2025

Exports:jayajaya_multiplot_jaya_multi_pairwise

Dependencies:

Optimizing with Jaya: A Vignette

Rendered fromJaya_Usage.Rmdusingknitr::rmarkdownon Mar 19 2025.

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