class_docstr: A MVO class, inherited from Optimizer.
  
  This is the designed class to define MVO-related
  variables and methods.
  
  References:
      S. Mirjalili, S. M. Mirjalili and A. Hatamlou.
      Multi-verse optimizer: a nature-inspired algorithm for global optimization.
      Neural Computing and Applications (2016).
class_docstr_tok: ["A","MVO","class",",","inherited","from","Optimizer",".","This","is","the","designed","class","to","define","MVO-related","variables","and","methods",".","References",":","S.","Mirjalili",",","S.","M.","Mirjalili","and","A.","Hatamlou",".","Multi-verse","optimizer",":","a","nature-inspired","algorithm","for","global","optimization",".","Neural","Computing","and","Applications","(","2016",")","."]
docstr: Exploitation accuracy.
docstr_tok: ["Exploitation","accuracy","."]
code: def p(self) -> float:
      """Exploitation accuracy."""
  
      return self._p
  
file_path: opytimizer/opytimizer/optimizers/science/mvo.py
imports: from typing import Any, Dict, Optional
  import numpy
  import opytimizer.math.general
  import opytimizer.math.random
  import opytimizer.utils.exception
  from opytimizer.core import Optimizer
  from opytimizer.core.function import Function
  from opytimizer.core.space import Space
  from opytimizer.utils import logging
label_desc: Use image node_id 6 for calling the MVO obj's underlying member method code with example usage: obj.p() and returns: self