Changeset 1289 for framspy/evolalg/run_numerical_example.py

Timestamp:

01/15/24 05:43:37 (4 months ago)

Author:

Maciej Komosinski

Message:

fitness_set_negative_to_zero boolean (a.k.a. "only positive fitness", needed for novelty and niching diversity control) becomes a command-line flag instead of a hardcoded value

File:

• framspy/evolalg/run_numerical_example.py (modified) (2 diffs)

framspy/evolalg/run_numerical_example.py

@@ +1 @@
+import numpy as np
 from .numerical_example.numerical_example import ExperimentNumerical
+from .structures.individual import Individual
 
 
 def main():
     parsed_args = ExperimentNumerical.get_args_for_parser().parse_args()
+    Individual.fitness_set_negative_to_zero = parsed_args.fitness_set_negative_to_zero # setting the "static" field once
     print("Argument values:", ", ".join(
         ['%s=%s' % (arg, getattr(parsed_args, arg)) for arg in vars(parsed_args)]))
 
-    initialgenotype = [100, 100, 100, 100]
-    print('Best individuals:')
+    initialgenotype = np.array([100, 100, 100, 100])
     experiment = ExperimentNumerical(
         hof_size=parsed_args.hof_size,
@@ -20 +22 @@
                                    pxov=parsed_args.pxov,
                                    tournament_size=parsed_args.tournament)
-    print(len(hof))
+    print('Best individuals:')
     for ind in hof:
-        print(ind.genotype, ind.rawfitness)
+        print(ind.rawfitness, '\t-->\t', ind.genotype)