Description
Builds experiments with Cartesian Genetic Programming through a cross-platform library. It is useful for researchers and developers exploring evolutionary algorithms, optimization, and machine-learning style search.
Experimental optimization libraries require careful validation of data, parameters, and randomness. Do not treat generated results as reliable without measurement and reproducible runs.