Simplify passing G, CV if n_nonlincon==0

Author: schmoelder

CADETProcess/optimization/individual.py

@@ -80,12 +80,9 @@ def __init__(
         self.g = g
         self.m = m
 
-        if cv is None:
+        if g is not None and cv is None:
             cv = g
         self.cv = cv
-
-        if cv_tol is None:
-            cv_tol = self.n_g*[0]
         self.cv_tol = cv_tol
 
         if x_untransformed is None:

CADETProcess/optimization/optimizer.py

@@ -441,6 +441,10 @@ def run_post_generation_processing(
         else:
             M = len(X)*[None]
 
+        if self.optimization_problem.n_nonlinear_constraints == 0:
+            G = len(X)*[None]
+            CV = len(X)*[None]
+
         population = Population()
         for x, f, g, cv, m in zip(X, F, G, CV, M):
             x_untransformed \

CADETProcess/optimization/pymooAdapter.py

@@ -148,8 +148,8 @@ def run(self, optimization_problem, x0=None):
                 G = pop.get("_G").tolist()
                 CV = pop.get("_CV").tolist()
             else:
-                G = len(X)*[None]
-                CV = len(X)*[None]
+                G = None
+                CV = None
 
             # Handle issue of pymoo not handling np.inf
             pop.set("F", np.nan_to_num(F, posinf=1e300))