Corrected extra lists and saving of optimisation parameters.

gprMax/optimisation_taguchi.py

@@ -109,7 +109,7 @@ def run_opt_sim(args, numbermodelruns, inputfile, usernamespace):
 
         # Update dictionary with history of parameters with optimal values
         for key, value in optparams.items():
-            optparamshist[key].append(value)
+            optparamshist[key].append(value[0])
         
         # Run a confirmation experiment with optimal values
         numbermodelruns = 1
@@ -141,7 +141,7 @@ def run_opt_sim(args, numbermodelruns, inputfile, usernamespace):
 
     # Save optimisation parameters history and fitness values history to file
     opthistfile = inputfileparts[0] + '_hist'
-    np.savez(opthistfile, dict(optparamshist), fitnessvalueshist=fitnessvalueshist, optparamsinit=optparamsinit)
+    np.savez(opthistfile, optparamshist=dict(optparamshist), fitnessvalueshist=fitnessvalueshist, optparamsinit=optparamsinit)
 
     print('\n{}\nTaguchi optimisation completed after {} iteration(s).\nHistory of optimal parameter values {} and of fitness values {}\n{}\n'.format(68*'*', iteration, dict(optparamshist), fitnessvalueshist, 68*'*'))