nsga3
0.0.3An Implementation of Non-Dominated Sorting Genetic Algorithm III for Feature Selection
Overview
An adaptation of Non-dominated Sorting Genetic Algorithm III for multi objective feature selection tasks. Non-dominated Sorting Genetic Algorithm III is a genetic algorithm that solves multiple optimization problems simultaneously by applying a non-dominated sorting technique. It uses a reference points based selection operator to explore solution space and preserve diversity. See the original paper by K. Deb and H. Jain (2014) DOI:10.1109/TEVC.2013.2281534 for a detailed description.
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Health
- NOTE r-devel-linux-x86_64-debian-clang
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- NOTE2026-03-1010 OK · 4 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 100%
- Documented parameters
- 94%
- Return-value docs
- 100%
- References docs
- 67%
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1 release. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- 0.0.3Latest2026-03-10 · current release
- RR 4.5.0 released · 2025-04-11
Package metadata
- First published
- 2019-02-18
- Total releases
- 1 / 7 yrs
- License
- GPL-3 OSI
- Minimum R
- ≥ 2.10.0
- Bundled data
- 8.7 KB / 1 file
- Download size
- 20 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
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