class_docstr: Infinity objective function.
  
  This class defines the Infinity [1]_ global optimization problem. This
  is a multimodal minimization problem defined as follows:
  
  .. math::
  
      f_{\text{Infinity}}(x) = \sum_{i=1}^{n} x_i^{6} 
      \left [ \sin\left ( \frac{1}{x_i} \right ) + 2 \right ]
  
  
  Here, :math:`n` represents the number of dimensions and
  :math:`x_i \in [-1, 1]` for :math:`i = 1, ..., n`.
  
  *Global optimum*: :math:`f(x) = 0` for :math:`x_i = 0` for
  :math:`i = 1, ..., n`
  
  .. [1] Gavana, A. Global Optimization Benchmarks and AMPGO retrieved 2015
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code: def __init__(self, dimensions=2):
      Benchmark.__init__(self, dimensions)
  
      self._bounds = list(zip([-1.0] * self.N, [1.0] * self.N))
  
      self.global_optimum = [[1e-16 for _ in range(self.N)]]
      self.fglob = 0.0
      self.change_dimensionality = True
  
imports: from numpy import sin, sum
  from .go_benchmark import Benchmark
label_desc: Use image node_id 1 to create a new Infinity object from inherited base classes: Benchmark with example: obj = Infinity(dimensions)