Fixed broken defaults and changed fitness function to is_it_5

src/EasyGA.py

@@ -24,9 +24,9 @@ class GA:
         """Initialize the GA."""
         # Initilization variables
         self.chromosome_length = 10
-        self.population_size = 150
+        self.population_size = 10
         self.chromosome_impl = None
-        self.gene_impl = None
+        self.gene_impl = [random.randint,1,10]
         self.population = None
         self.target_fitness_type = 'maximum'
         self.update_fitness = True
@@ -48,7 +48,7 @@ class GA:
 
         # Default EasyGA implimentation structure
         self.initialization_impl   = Initialization_Methods.random_initialization
-        self.fitness_function_impl = Fitness_Examples.index_dependent_values
+        self.fitness_function_impl = Fitness_Examples.is_it_5
         self.make_population       = create_population
         self.make_chromosome       = create_chromosome
         self.make_gene             = create_gene

src/run_testing.py

@@ -4,12 +4,7 @@ import EasyGA
 # Create the Genetic algorithm
 ga = EasyGA.GA()
 
-ga.population_size = 100
-ga.chromosome_length = 10
-ga.generation_goal =  100
-ga.gene_impl = [random.randint,1,10]
-ga.parent_selection_impl = EasyGA.Parent_Selection.Roulette.roulette_selection
-
 ga.evolve()
 
+print(f"Current Generation: {ga.current_generation}")
 ga.population.print_all()