Jaya: Gradient-Free Optimization Algorithm for Single andMulti-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>.
| Version: | 1.0.3 |
| Depends: | R (≥ 3.5.0) |
| Imports: | parallel |
| Suggests: | knitr,rmarkdown,evaluate,testthat |
| Published: | 2024-11-18 |
| DOI: | 10.32614/CRAN.package.Jaya |
| Author: | Neeraj Bokde [aut, cre] |
| Maintainer: | Neeraj Bokde <neerajdhanraj at gmail.com> |
| BugReports: | https://github.com/neerajdhanraj/Jaya/issues |
| License: | MIT + fileLICENSE |
| URL: | https://github.com/neerajdhanraj/Jaya |
| NeedsCompilation: | no |
| CRAN checks: | Jaya results |
Documentation:
| Reference manual: | Jaya.html ,Jaya.pdf |
| Vignettes: | Jaya_Usage (source,R code) |
Downloads:
| Package source: | Jaya_1.0.3.tar.gz |
| Windows binaries: | r-devel:Jaya_1.0.3.zip, r-release:Jaya_1.0.3.zip, r-oldrel:Jaya_1.0.3.zip |
| macOS binaries: | r-release (arm64):Jaya_1.0.3.tgz, r-oldrel (arm64):Jaya_1.0.3.tgz, r-release (x86_64):Jaya_1.0.3.tgz, r-oldrel (x86_64):Jaya_1.0.3.tgz |
| Old sources: | Jaya archive |
Linking:
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