class_docstr: An HHO class, inherited from Optimizer.
  
  This is the designed class to define HHO-related
  variables and methods.
  
  References:
      A. Heidari et al. Harris hawks optimization: Algorithm and applications.
      Future Generation Computer Systems (2019).
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 -> HHO.")
  
      super(HHO, self).__init__()
  
      self.build(params)
  
      logger.info("Class overrided.")
  
file_path: opytimizer/opytimizer/optimizers/population/hho.py
imports: from typing import Any, Dict, List, Optional, Tuple
  import numpy
  import opytimizer.math.distribution
  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 logging
label_desc: Use image node_id 1 to create a new HHO object from inherited base classes: Optimizer with example: obj = HHO(params)