mcga
Machine Coded Genetic Algorithms for Real-Valued Optimization Problems
Machine coded genetic algorithm (MCGA) is a fast tool for real-valued optimization problems. It uses the byte representation of variables rather than real-values. It performs the classical crossover operations (uniform) on these byte representations. Mutation operator is also similar to classical mutation operator, which is to say, it changes a randomly selected byte value of a chromosome by +1 or -1 with probability 1/2. In MCGAs there is no need for encoding-decoding process and the classical operators are directly applicable on real-values. It is fast and can handle a wide range of a search space with high precision. Using a 256-unary alphabet is the main disadvantage of this algorithm but a moderate size population is convenient for many problems. Package also includes multi_mcga function for multi objective optimization problems. This function sorts the chromosomes using their ranks calculated from the non-dominated sorting algorithm.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
3.0.9 |
rolling linux/jammy R-4.5 | mcga_3.0.9.tar.gz |
167.6 KiB |
3.0.9 |
rolling linux/noble R-4.5 | mcga_3.0.9.tar.gz |
167.2 KiB |
3.0.9 |
rolling source/ R- | mcga_3.0.9.tar.gz |
23.8 KiB |
3.0.9 |
latest linux/jammy R-4.5 | mcga_3.0.9.tar.gz |
167.6 KiB |
3.0.9 |
latest linux/noble R-4.5 | mcga_3.0.9.tar.gz |
167.2 KiB |
3.0.9 |
latest source/ R- | mcga_3.0.9.tar.gz |
23.8 KiB |
3.0.9 |
2026-04-26 source/ R- | mcga_3.0.9.tar.gz |
23.8 KiB |
3.0.9 |
2026-04-23 source/ R- | mcga_3.0.9.tar.gz |
23.8 KiB |
3.0.9 |
2026-04-09 windows/windows R-4.5 | mcga_3.0.9.zip |
488.1 KiB |
3.0.7 |
2025-04-20 source/ R- | mcga_3.0.7.tar.gz |
23.6 KiB |