code: def h1(individual):
      r""" Simple two-dimensional function containing several local maxima.
      From: The Merits of a Parallel Genetic Algorithm in Solving Hard
      Optimization Problems, A. J. Knoek van Soest and L. J. R. Richard
      Casius, J. Biomech. Eng. 125, 141 (2003)
  
      .. list-table::
         :widths: 10 50
         :stub-columns: 1
  
         * - Type
           - maximization
         * - Range
           - :math:`x_i \in [-100, 100]`
         * - Global optima
           - :math:`\mathbf{x} = (8.6998, 6.7665)`, :math:`f(\mathbf{x}) = 2`\n
         * - Function
           - .. math::
  
               f(\mathbf{x}) = \frac{\sin(x_1 - \frac{x_2}{8})^2 + \
               \sin(x_2 + \frac{x_1}{8})^2}{\sqrt{(x_1 - 8.6998)^2 + \
               (x_2 - 6.7665)^2} + 1}
  
      .. plot:: code/benchmarks/h1.py
         :width: 67 %
      """
      num = (sin(individual[0] - individual[1] / 8)) ** 2 + (
          sin(individual[1] + individual[0] / 8)
      ) ** 2
      denum = (
          (individual[0] - 8.6998) ** 2 + (individual[1] - 6.7665) ** 2
      ) ** 0.5 + 1
      return (num / denum,)
  
imports: import random
  from math import sin, cos, pi, exp, e, sqrt
  from operator import mul
  from functools import reduce
label_desc: Use image node_id 6 for calling a global function with example usage: h1(individual) and returns: unknown