class_docstr: A GCO class, inherited from Optimizer.
  
  This is the designed class to define GCO-related
  variables and methods.
  
  References:
      C. Villaseñor et al. Germinal center optimization algorithm.
      International Journal of Computational Intelligence Systems (2018).
class_docstr_tok: ["A","GCO","class",",","inherited","from","Optimizer",".","This","is","the","designed","class","to","define","GCO-related","variables","and","methods",".","References",":","C.","Villase\u00f1or","et","al",".","Germinal","center","optimization","algorithm",".","International","Journal","of","Computational","Intelligence","Systems","(","2018",")","."]
docstr: Cross-ratio parameter.
docstr_tok: ["Cross-ratio","parameter","."]
code: def CR(self) -> float:
      """Cross-ratio parameter."""
  
      return self._CR
  
imports: import copy
  from typing import Any, Dict, List, Optional
  import numpy
  import opytimizer.math.distribution
  import opytimizer.math.random
  import opytimizer.utils.constant
  import opytimizer.utils.exception
  from opytimizer.core import Optimizer
  from opytimizer.core.agent import Agent
  from opytimizer.core.function import Function
  from opytimizer.core.space import Space
  from opytimizer.utils import logging
label_desc: Use image node_id 2 for calling the GCO obj's underlying member method code with example usage: obj.CR() and returns: self