.. currentmodule:: playdoh

.. _example-maximize_matrix:

Example: maximize_matrix
========================

Example of :func:`maximize` with a fitness function accepting arrays
rather than keyword arguments.

::

    from playdoh import *
    import numpy
    
    
    def fun(x):
        if x.ndim == 1:
            x = x.reshape((1, -1))
        result = numpy.exp(-(x ** 2).sum(axis=0))
        return result
    
    
    if __name__ == '__main__':
        # State space dimension (D)
        dimension = 4
    
        # ``initrange`` is a Dx2 array with the initial intervals for every
        # dimension
        initrange = numpy.tile([-10., 10.], (dimension, 1))
    
        # Maximize the fitness function in parallel
        results = maximize(fun,
                           popsize=10000,  # size of the population
                           maxiter=10,  # maximum number of iterations
                           cpu=1,  # number of CPUs to use on the local machine
                           initrange=initrange)
    
        # Display the final result in a table
        print_table(results)