Example: maximize_matrix

Example of 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)