Doubled mutation rate. To solve default fitness function.

src/attributes.py

@@ -62,10 +62,10 @@ class Attributes:
             current_fitness             = 0,
             generation_goal             = 15,
             fitness_goal                = None,
-            tolerance_goal              = 1e-2,
+            tolerance_goal              = None,
             percent_converged           = 0.50,
             chromosome_mutation_rate    = 0.15,
-            gene_mutation_rate          = 0.05,
+            gene_mutation_rate          = 0.10,
             initialization_impl         = Initialization_Methods.random_initialization,
             fitness_function_impl       = Fitness_Examples.is_it_5,
             make_population             = create_population,

src/run_testing.py

@@ -7,8 +7,10 @@ ga = EasyGA.GA()
 # Create 25 chromosomes each with 10 genes and 200 generations
 ga.population_size = 100
 ga.chromosome_length = 10
-ga.generation_goal = 150
+ga.generation_goal = 1000
 
 ga.evolve()
 
-ga.graph.generation_total_fitness()
+ga.print_population()
+
+ga.graph.highest_value_chromosome()