File name changes to match the rest of framework. generation goal was setup twice in EasyGA.

src/EasyGA.py

@@ -32,9 +32,8 @@ class GA:
 
         # Termination variables
         self.current_generation = 0
-        self.generation_goal = 50
-
         self.current_fitness = 0
+
         self.generation_goal = 250
         self.fitness_goal = 9
 

src/crossover/methods.py

@@ -1,3 +0,0 @@
-class Crossover_methods:
-    """Mutation examples will go here """
-    pass

src/fitness_function/methods.py

@@ -1,16 +0,0 @@
-class Fitness_methods:
-    """Fitness function examples used"""
-
-    def is_it_5(chromosome):
-        """A very simple case test function - If the chromosomes gene value is a 5 add one
-         to the chromosomes overall fitness value."""
-        # Overall fitness value
-        fitness = 0
-        # For each gene in the chromosome
-        for gene in chromosome.gene_list:
-            # Check if its value = 5
-            if(gene.value == 5):
-                # If its value is 5 then add one to
-                # the overal fitness of the chromosome.
-                fitness += 1
-        return fitness

src/fitness_function/test_examples.py

@@ -1,12 +0,0 @@
-class test_fitness_funciton:
-    def get_fitness(self, chromosome):
-        # For every gene in chromosome
-        for i in range(len(chromosome.genes)):
-            # If the gene has a five then add one to the fitness
-            # Example -> Chromosome = [5],[2],[2],[5],[5] then fitness = 3
-            if (chromosome.genes[i].get_value == 5):
-                # Add to the genes fitness
-                chromosome.genes[i].fitness += 1
-                # Add to the chromosomes fitness
-                chromosome.fitness += 1
-        return chromosome.fitness

src/mutation/methods.py

@@ -1,3 +0,0 @@
-class Mutation_methods:
-    """Mutation examples will go here """
-    pass

src/parent_selection/__init__.py

@@ -1,2 +1,2 @@
 # FROM (. means local) file_name IMPORT function_name
-from .parent_selection import Parent_Selection
+from .parent_selection_methods import Parent_Selection

src/run_testing.py

@@ -13,4 +13,5 @@ ga.gene_impl = [random.randrange,1,100]
 ga.evolve()
 
 # Print the current population
+print(f"Current Generation: {ga.current_generation}")
 ga.population.print_all()

src/survivor_selection/__init__.py

@@ -1,2 +1,2 @@
 # FROM (. means local) file_name IMPORT function_name
-from .survivor_selection import Survivor_Selection
+from .survivor_selection_methods import Survivor_Selection

src/termination_point/methods.py

@@ -1,16 +0,0 @@
-class Termination_methods:
-    """Example functions that can be used to terminate the the algorithms loop"""
-
-    def fitness_based(ga):
-        """Fitness based approach to terminate when the goal fitness has been reached"""
-        status = True
-        if(ga.current_fitness > ga.fitness_goal):
-            status = False
-        return status
-
-    def generation_based(ga):
-        """Generation based approach to terminate when the goal generation has been reached"""
-        status = True
-        if(ga.current_generation > ga.generation_goal):
-            status = False
-        return status