class_docstr: An AO class, inherited from Optimizer.
  
  This is the designed class to define AO-related
  variables and methods.
  
  References:
      L. Abualigah et al. Aquila Optimizer: A novel meta-heuristic optimization Algorithm.
      Computers & Industrial Engineering (2021).
class_docstr_tok: ["An","AO","class",",","inherited","from","Optimizer",".","This","is","the","designed","class","to","define","AO-related","variables","and","methods",".","References",":","L.","Abualigah","et","al",".","Aquila","Optimizer",":","A","novel","meta-heuristic","optimization","Algorithm",".","Computers","&","Industrial","Engineering","(","2021",")","."]
docstr: Cycle regularizer.
docstr_tok: ["Cycle","regularizer","."]
code: def U(self) -> float:
      """Cycle regularizer."""
  
      return self._U
  
imports: import copy
  from typing import Any, Dict, 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 8 for calling the AO obj's underlying member method code with example usage: obj.U() and returns: self