Introduction | Key Features | Installation | Single-Objective Optimization | Example: Minimize Sphere Function | Multi-Objective Optimization | Example: Optimize Two Sphere Functions | Advanced Features | Early Stopping | Conclusion | References
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:
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✨
DESCRIPTION
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
Last updated from:82d24e9688. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 146 | ||
| source / vignettes | OK | 144 | ||
| linux-release-x86_64 | OK | 132 | ||
| macos-release-arm64 | OK | 95 | ||
| macos-oldrel-arm64 | OK | 96 | ||
| windows-devel | OK | 82 | ||
| windows-release | OK | 74 | ||
| windows-oldrel | OK | 66 | ||
| wasm-release | OK | 108 |
Exports:jayajaya_multiplot_jaya_multi_pairwise
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Jaya Algorithm for Single-Objective Optimization | jaya |
| Jaya Algorithm for Multi-Objective Optimization | jaya_multi |
| Pairwise Plot Function for Multi-Objective Optimization Results | plot_jaya_multi_pairwise |
| Plot Function for Jaya Algorithm Results | plot.jaya |
| Summary Method for Jaya Algorithm Optimization Results | summary.jaya |
