class_docstr: A BH class, inherited from Optimizer.
  
  This is the designed class to define BH-related
  variables and methods.
  
  References:
      A. Hatamlou. Black hole: A new heuristic optimization approach for data clustering.
      Information Sciences (2013).
docstr: Initialization method.
  
  Args:
      params: Contains key-value parameters to the meta-heuristics.
docstr_tok: ["Initialization","method",".","Args",":","params",":","Contains","key-value","parameters","to","the","meta-heuristics","."]
code: def __init__(self, params: Optional[Dict[str, Any]] = None) -> None:
      """Initialization method.
  
      Args:
          params: Contains key-value parameters to the meta-heuristics.
  
      """
  
      logger.info("Overriding class: Optimizer -> BH.")
  
      super(BH, self).__init__()
  
      self.build(params)
  
      logger.info("Class overrided.")
  
file_path: opytimizer/opytimizer/optimizers/science/bh.py
imports: from typing import Any, Dict, List, Optional
  import numpy
  import opytimizer.math.random
  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 constant, logging
label_desc: Use image node_id 1 to create a new BH object from inherited base classes: Optimizer with example: obj = BH(params)