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
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Jaya_1.0.3.tgz(r-4.5-any)Jaya_1.0.3.tgz(r-4.4-any)Jaya_1.0.3.tgz(r-4.3-any)
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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

On CRAN:

Conda:

3.48 score 1 stars 5 scripts 452 downloads 3 mentions 3 exports 0 dependencies

Last updated 4 months agofrom:82d24e9688. Checks:9 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 28 2025
R-4.5-winOKMar 28 2025
R-4.5-macOKMar 28 2025
R-4.5-linuxOKMar 28 2025
R-4.4-winOKMar 28 2025
R-4.4-macOKMar 28 2025
R-4.4-linuxOKMar 28 2025
R-4.3-winOKMar 28 2025
R-4.3-macOKMar 28 2025

Exports:jayajaya_multiplot_jaya_multi_pairwise

Dependencies:

Optimizing with Jaya: A Vignette

Rendered fromJaya_Usage.Rmdusingknitr::rmarkdownon Mar 28 2025.

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