Constraint failure in my code

[codeHunterHer]

import numpy as np

from pymoo.algorithms.moo.nsga2 import NSGA2 from pymoo.core.problem import ElementwiseProblem from pymoo.optimize import minimize from pymoo.visualization.scatter import Scatter

class MyProblem(ElementwiseProblem):

def __init__(self):
    super().__init__(n_var=2,
                     n_obj=2,
                     n_ieq_constr=2,
                     xl=np.array([-2, -2]),
                     xu=np.array([2, 2]))

def _evaluate(self, x, out, *args, **kwargs):
    f1 = 100 * (x[0] ** 2 + x[1] ** 2)
    f2 = (x[0] - 1) ** 2 + x[1] ** 2

    g1 = 2 * (x[0] - 0.1) * (x[0] - 0.9) / 0.18
    g2 = - 20 * (x[0] - 0.4) * (x[0] - 0.6) / 4.8

    out["F"] = [f1, f2]
    out["G"] = [g1, g2]

problem = MyProblem()

algorithm = NSGA2(pop_size=100)

res = minimize(problem, algorithm, ("n_gen", 100), verbose=False, seed=1)

plot = Scatter() plot.add(res.F, edgecolor="red", facecolor="none") plot.show()

[codeHunterHer]

I look forward to your answers Thanks

[blankjul]

Were you able to resolve the issue yourself? If yes, can you post for others what the solution was?

Thanks!