class_docstr: A DOA class, inherited from Optimizer.
  
  This is the designed class to define DOA-related
  variables and methods.
  
  References:
      F. Demir et al. A survival classification method for hepatocellular carcinoma patients
      with chaotic Darcy optimization method based feature selection.
      Medical Hypotheses (2020).
class_docstr_tok: ["A","DOA","class",",","inherited","from","Optimizer",".","This","is","the","designed","class","to","define","DOA-related","variables","and","methods",".","References",":","F.","Demir","et","al",".","A","survival","classification","method","for","hepatocellular","carcinoma","patients","with","chaotic","Darcy","optimization","method","based","feature","selection",".","Medical","Hypotheses","(","2020",")","."]
docstr: Array of chaotic maps.
docstr_tok: ["Array","of","chaotic","maps","."]
code: def chaotic_map(self) -> np.ndarray:
      """Array of chaotic maps."""
  
      return self._chaotic_map
  
file_path: opytimizer/opytimizer/optimizers/misc/doa.py
imports: from typing import Any, Dict, Optional
  import numpy
  import opytimizer.math.random
  import opytimizer.utils.exception
  from opytimizer.core import Optimizer
  from opytimizer.core.space import Space
  from opytimizer.utils import logging
label_desc: Use image node_id 4 for calling the DOA obj's underlying member method code with example usage: obj.chaotic_map() and returns: self