Improved Documentation

Author: Julian Blank

pymoo/operators/repair/inverse_penalty.py

@@ -1,7 +1,6 @@
 import numpy as np
 
 from pymoo.operators.repair.bounds_repair import BoundsRepair
-from pymoo.operators.repair.to_bound import set_to_bounds_if_outside, set_to_bounds_if_outside_by_problem
 
 
 def inverse_penality(x, p, xl, xu, alpha=None):
@@ -72,8 +71,8 @@ def repair_out_of_bounds(self, problem, X, P=None, **kwargs):
     xu = np.ones(2)
 
     # chosen parents
-    p = np.array([0.1, 1.0])
-    # p = np.array([0.5, 0.6])
+    # p = np.array([0.1, 1.0])
+    p = np.array([0.5, 0.6])
 
     c = np.array([-0.1, 1.0])
 

pymoo/util/display.py

@@ -176,14 +176,12 @@ def _do(self, problem, evaluator, algorithm):
             self.output.append("n_nds", len(algorithm.opt), width=7)
             self.term.do_continue(algorithm)
 
-            delta_ideal, delta_nadir, delta_f, hist_delta_max = "-", "-", "-", "-"
+            delta_bounds, delta_f, hist_delta_max = "-", "-", "-"
 
             if len(self.term.metrics) > 0:
                 metric = self.term.metrics[-1]
-                delta_ideal = metric["delta_ideal"]
-                delta_nadir = metric["delta_nadir"]
+                delta_bounds = np.maximum(metric["delta_ideal"], metric["delta_nadir"])
                 delta_f = metric["delta_f"]
 
-            self.output.append("delta_ideal", delta_ideal)
-            self.output.append("delta_nadir", delta_nadir)
+            self.output.append("delta_bounds", delta_bounds)
             self.output.append("delta_f", delta_f)