SimonBlanke / Gradient-Free-Optimizers

    return idx_sorted

def centeroid(array_list):

    centeroid = []

    for idx in range(array_list[0].shape[0]):

        center_dim_pos = []

        for array in array_list:

            center_dim_pos.append(array[idx])

        center_dim_mean = np.array(center_dim_pos).mean()

        centeroid.append(center_dim_mean)

    return centeroid

class DownhillSimplexOptimizer(BaseOptimizer, Search):

from ._spiral import Spiral

def centeroid(array_list):

    centeroid = []

    for idx in range(array_list[0].shape[0]):

        center_dim_pos = []

        for array in array_list:

            center_dim_pos.append(array[idx])

        center_dim_mean = np.array(center_dim_pos).mean()

        centeroid.append(center_dim_mean)

    return centeroid

class SpiralOptimization(BasePopulationOptimizer, Search):