Genetic Algorithm: String Evolution

A classical evolutionary algorithm where a population of random gibberish mutates and crosses over each generation. The fitness function rewards strings that closely match the target sequence.
This demonstrates the power of cumulative selection: random mutation alone would take longer than the age of the universe, but selective breeding finds the target in seconds.
Target:
Best:
Generation: 0 | Fitness: 0%