Una biblioteca de Algoritmos Genéticos en Python optimizada con Numba para alto rendimiento, con soporte para paralelización y múltiples operadores genéticos.
Project description
PySAG-UdeC
Una librería simple y educativa de Algoritmos Genéticos en Python.
Desarrolladores
John Sebastián Galindo Hernández
Miguel Ángel Moreno Beltrán
Estado del Proyecto
Actualmente PySAG-UdeC se encuentra en la fase de desarrollo.
Características (Planificadas a futuro)
- Framework básico para Algoritmos Genéticos.
- Permite funciones de fitness personalizadas.
- Operadores genéticos intercambiables (Selección, Cruce, Mutación).
Instalación
Puedes instalar PySAG-UdeC usando pip (una vez que sea publicado). Por ahora, para desarrollo:
git clone https://github.com/SebasGalindo/PySAG-UdeC.git
cd PySAG-UdeC
pip install -e .[dev]
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