pf_rank_process.py 文件源码

def distance_smooth_norm(expected, result):
    """
    Calculates 2-norm from difference in fitness between expected and given snakes
    @param expected: array of expected fitness
    @param result: array of given fitness
    @return:
    """
    global best_so_far, calculations
    n = result.size
    differences = abs(expected - result) ** 4 * np.arange(n * 2, 0, -2)
    distance = norm(differences) / np.sqrt(n)

    best_so_far = min(best_so_far, distance)
    calculations += 1

    show_progress(distance, calculations)
    return distance