code: def schaffer_mo(individual):
      r"""Schaffer's multiobjective function on a one attribute *individual*.
      From: J. D. Schaffer, "Multiple objective optimization with vector
      evaluated genetic algorithms", in Proceedings of the First International
      Conference on Genetic Algorithms, 1987.
  
      :math:`f_{\text{Schaffer}1}(\mathbf{x}) = x_1^2`
  
      :math:`f_{\text{Schaffer}2}(\mathbf{x}) = (x_1-2)^2`
      """
      return individual[0] ** 2, (individual[0] - 2) ** 2
  
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 18 for calling a global function with example usage: schaffer_mo(individual) and returns: unknown,  unknown