class_docstr: A SBO class, inherited from Optimizer.
  
  This is the designed class to define SBO-related
  variables and methods.
  
  References:
      S. H. S. Moosavi and V. K. Bardsiri.
      Satin bowerbird optimizer: a new optimization algorithm to optimize ANFIS
      for software development effort estimation.
      Engineering Applications of Artificial Intelligence (2017).
code: def alpha(self, alpha: float) -> None:
      if not isinstance(alpha, (float, int)):
          raise e.TypeError("`alpha` should be a float or integer")
      if alpha < 0:
          raise e.ValueError("`alpha` should be >= 0")
  
      self._alpha = alpha
  
imports: from typing import Any, Dict, List, Optional
  import numpy
  import opytimizer.math.distribution
  import opytimizer.math.random
  import opytimizer.utils.exception
  from opytimizer.core import Optimizer
  from opytimizer.core.function import Function
  from opytimizer.core.space import Space
  from opytimizer.utils import logging
label_desc: Use image node_id 3 for calling the SBO obj's underlying member method code with example usage: obj.alpha(alpha) without return types