initial code

nsga-ii-re.py

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+from pymoo.algorithms.moo.nsga2 import NSGA2
+from pymoo.algorithms.moo.ctaea import CTAEA
+from pymoo.algorithms.moo.nsga3 import NSGA3
+
+from pymoo.factory import  get_reference_directions
+from pymoo.optimize import minimize
+
+from pymoo.visualization.scatter import Scatter
+from reproblem import *
+
+problem = CRE22()
+ref_dirs = get_reference_directions("das-dennis", 2, n_partitions=64)
+
+algorithm = NSGA2(pop_size=100)
+algorithm = NSGA3(pop_size=92,
+                  ref_dirs=ref_dirs)
+# IBEA
+algorithm = CTAEA(ref_dirs=ref_dirs)
+
+res = minimize(problem,
+               algorithm,
+               ('n_gen', 200),
+               seed=1,
+               verbose=False)
+
+plot = Scatter()
+plot.add(problem.pareto_front(), plot_type="line", color="black", alpha=0.7)
+plot.add(res.F, facecolor="none", edgecolor="red")
+plot.show()