============================ One Max Problem: Using Numpy ============================ The numpy version one max genetic algorithm example is very similar to one max short example. The individual class is inherited from the :class:`numpy.ndarray`. .. literalinclude:: /../examples/ga/onemax_numpy.py :lines: 18,26 The first major difference is the crossover function that implements the copying mechanism mentioned in the :doc:`/tutorials/advanced/numpy` tutorial. .. literalinclude:: /../examples/ga/onemax_numpy.py :pyobject: cxTwoPointCopy This crossover function is added to the toolbox instead of the original :func:`deap.tools.cxTwoPoint` crossover. .. literalinclude:: /../examples/ga/onemax_numpy.py :lines: 67 The second major difference is the use of the *similar* function in the :class:`~deap.tools.HallOfFame` that has to be set to a :func:`numpy.array_equal` or :func:`numpy.allclose` .. literalinclude:: /../examples/ga/onemax_numpy.py :lines: 80 The complete source code: :example:`ga/onemax_numpy`.