class_docstr: A BOA class, inherited from Optimizer.
  
  This is the designed class to define BOA-related
  variables and methods.
  
  References:
      S. Arora and S. Singh. Butterfly optimization algorithm: a novel approach for global optimization.
      Soft Computing (2019).
docstr: Sensor modality.
docstr_tok: ["Sensor","modality","."]
code: def c(self) -> float:
      """Sensor modality."""
  
      return self._c
  
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 2 for calling the BOA obj's underlying member method code with example usage: obj.c() and returns: self