class_docstr: Mishra 11 objective function.
  
  This class defines the Mishra 11 [1]_ global optimization problem. This is a
  multimodal minimization problem defined as follows:
  
  .. math::
  
     f_{\text{Mishra11}}(x) = \left [ \frac{1}{n} \sum_{i=1}^{n} \lvert x_i
     \rvert - \left(\prod_{i=1}^{n} \lvert x_i \rvert \right )^{\frac{1}{n}}
     \right]^2
  
  
  Here, :math:`n` represents the number of dimensions and
  :math:`x_i \in [-10, 10]` for :math:`i = 1, ..., n`.
  
  *Global optimum*: :math:`f(x) = 0` for :math:`x_i = 0` for
  :math:`i = 1, ..., n`
  
  .. [1] Jamil, M. & Yang, X.-S. A Literature Survey of Benchmark Functions
  For Global Optimization Problems Int. Journal of Mathematical Modelling
  and Numerical Optimisation, 2013, 4, 150-194.
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code: def fun(self, x, *args):
      self.nfev += 1
  
      N = self.N
      return (
          (1.0 / N) * sum(abs(x)) - (prod(abs(x))) ** 1.0 / N
      ) ** 2.0
  
imports: from numpy import abs, asarray, cos, exp, log, arange, pi, prod, sin, sqrt, sum, tan
  from .go_benchmark import Benchmark, safe_import
label_desc: Use image node_id 2 for calling the Mishra11 obj's underlying member method code with example usage: obj.fun(x) and returns: unknown