code: def main(dimension, iterations):
      
      objective_function = minimize(functions.sphere)
      stopping_condition = max_iterations(iterations)
      (solution, metrics) = optimize(objective_function=objective_function,
                                     domain=Domain(-5.12, 5.12, dimension),
                                     stopping_condition=stopping_condition,
                                     parameters={'seed': 3758117674,
                                                 'rho': 1.0, 'e_s': 15, 'e_f': 5},
                                     velocity_update=gc_velocity_update,
                                     parameter_update=update_rho,
                                     measurements=[fitness_measurement])
      return solution
docs: Main function to execute gbest GC PSO algorithm.