Distributed Evolutionary Algorithms in Python (DEAP)

DEAP is a novel evolutionary computation framework designed for rapid prototyping and testing of ideas. It provides explicit algorithms and transparent data structures for various evolutionary computation techniques, including genetic algorithms, genetic programming, evolution strategies, and multi-objective optimization. It works seamlessly with parallelization mechanisms like multiprocessing. The current stable version is 1.4.3.