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Algorithms

.. automodule:: deap.algorithms

Complete Algorithms

These are complete boxed algorithms that are somewhat limited to the very basic evolutionary computation concepts. All algorithms accept, in addition to their arguments, an initialized :class:`~deap.tools.Statistics` object to maintain stats of the evolution, an initialized :class:`~deap.tools.HallOfFame` to hold the best individual(s) to appear in the population, and a boolean verbose to specify wether to log what is happening during the evolution or not.

.. autofunction:: deap.algorithms.eaSimple(population, toolbox, cxpb, mutpb, ngen[, stats, halloffame, verbose])


.. autofunction:: deap.algorithms.eaMuPlusLambda(population, toolbox, mu, lambda_, cxpb, mutpb, ngen[, stats, halloffame, verbose])


.. autofunction:: deap.algorithms.eaMuCommaLambda(population, toolbox, mu, lambda_, cxpb, mutpb, ngen[, stats, halloffame, verbose])


.. autofunction:: deap.algorithms.eaGenerateUpdate(toolbox, ngen[, stats, halloffame, verbose])

Variations

Variations are smaller parts of the algorithms that can be used separately to build more complex algorithms.

.. autofunction:: deap.algorithms.varAnd


.. autofunction:: deap.algorithms.varOr

Covariance Matrix Adaptation Evolution Strategy

.. automodule:: deap.cma


.. autoclass:: deap.cma.Strategy(centroid, sigma[, **kargs])
   :members:


.. autoclass:: deap.cma.StrategyOnePlusLambda(parent, sigma[, **kargs])
   :members:


.. autoclass:: deap.cma.StrategyMultiObjective(population, sigma[, **kargs])
   :members: