deap

DEAP is an evolutionary computation framework for Python aimed at rapid prototyping and testing of ideas. It provides genetic algorithms over representations such as lists, arrays, sets, dictionaries, trees and Numpy arrays, genetic programming with prefix trees, evolution strategies including CMA-ES, multi-objective optimisation, and co-evolution of multiple populations. It supports parallelisation via multiprocessing and SCOOP and works out of the box with Python 3 since version 0.8.

GitHub repo Directory import
0 shouts Added Sep 23, 2026 github.com
github.com/deap/deap
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Features

  • Genetic algorithm using any imaginable representation Source: github.com

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