Execute genetic algorithm (GA) simulations in a customizable and extensible way.

Fast, parallel, extensible and adaptable genetic algorithm library. A example using this library solves the N Queens problem for N = 255 in only few seconds and using less than 1 MB of RAM.

A customizable parallel genetic programming engine capable of evolving solutions for supervised, unsupervised, and reinforcement learning problems. Comes with complete and customizable implementation of NEAT and Evtree.

Evolutionary algorithms

Genetic Algorithm library. In maintenance mode.