nsga3
An Implementation of Non-Dominated Sorting Genetic Algorithm III for Feature Selection
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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.0.3 |
rolling linux/jammy R-4.5 | nsga3_0.0.3.tar.gz |
59.4 KiB |
0.0.3 |
rolling linux/noble R-4.5 | nsga3_0.0.3.tar.gz |
59.4 KiB |
0.0.3 |
rolling source/ R- | nsga3_0.0.3.tar.gz |
19.0 KiB |
0.0.3 |
latest linux/jammy R-4.5 | nsga3_0.0.3.tar.gz |
59.4 KiB |
0.0.3 |
latest linux/noble R-4.5 | nsga3_0.0.3.tar.gz |
59.4 KiB |
0.0.3 |
latest source/ R- | nsga3_0.0.3.tar.gz |
19.0 KiB |
0.0.3 |
2026-04-26 source/ R- | nsga3_0.0.3.tar.gz |
19.0 KiB |
0.0.3 |
2026-04-23 source/ R- | nsga3_0.0.3.tar.gz |
19.0 KiB |
0.0.3 |
2026-04-09 windows/windows R-4.5 | nsga3_0.0.3.zip |
62.3 KiB |
0.0.3 |
2025-04-20 source/ R- | nsga3_0.0.3.tar.gz |
19.0 KiB |