Class to implement a set of Genetic Algorithms using genes taking on values of settable alphabets (alleles) to form chromosomes which then are used to optimize parameters of an arbitrary objective function employing procedures from biologic evolution, i.e. "selective mating," "crossover," "mutation," "selection of the fittest," and "inversion."
For a complete documentation of this Python module, please see the docs directory https://ekkehard.github.io/GeneticAlgorithms/.
- [1.0.0] -- Initial commit (outside of GitHub)
- [1.1.1] -- First GitHub commit with improved Unit Test
- [1.1.2] -- Moved all documentation into docs top directory
This code is Free and Open Source Software!
Please see the LICENSE.md and NOTICE.md files for more detailed license information.