class_docstr: An ABC class, inherited from Optimizer.
  
  This is the designed class to define ABC-related
  variables and methods.
  
  References:
      D. Karaboga and B. Basturk.
      A powerful and efficient algorithm for numerical function optimization: Artificial bee colony (ABC) algorithm.
      Journal of Global Optimization (2007).
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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 -> ABC.")
  
      super(ABC, self).__init__()
  
      self.n_trials = 10
  
      self.build(params)
  
      logger.info("Class overrided.")
  
imports: import copy
  from typing import Any, Dict, List, Optional
  import numpy
  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 1 to create a new ABC object from inherited base classes: Optimizer with example: obj = ABC(params)