class_docstr: An EO class, inherited from Optimizer.
  
  This is the designed class to define EO-related
  variables and methods.
  
  References:
      A. Faramarzi et al. Equilibrium optimizer: A novel optimization algorithm.
      Knowledge-Based Systems (2020).
class_docstr_tok: ["An","EO","class",",","inherited","from","Optimizer",".","This","is","the","designed","class","to","define","EO-related","variables","and","methods",".","References",":","A.","Faramarzi","et","al",".","Equilibrium","optimizer",":","A","novel","optimization","algorithm",".","Knowledge-Based","Systems","(","2020",")","."]
docstr: Concentrations (agents).
docstr_tok: ["Concentrations","(","agents",")","."]
code: def C(self) -> List[Agent]:
      """Concentrations (agents)."""
  
      return self._C
  
imports: import copy
  from typing import Any, Dict, List, Optional
  import numpy
  import opytimizer.math.random
  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 10 for calling the EO obj's underlying member method code with example usage: obj.C() and returns: self