Added files for all the main classes inside of EasyGA

src/EasyGA.py

@@ -1,65 +1,6 @@
 # Defult packages for GA functionality
 from initialization.random_initialization import random_initialization
 
-def check_gene(value):
-    #Check to make sure the gene is not empty
-    assert value != "" , "Gene can not be empty"
-    return value
-
-## Your main structure
-class gene:
-    # Defults
-        # fitness = Anything, value = Anything
-    def __init__(self, value):
-        self.fitness = None
-        self.value = check_gene(value)
-
-    def set_fitness(self,fitness):
-        self.fitness = fitness
-
-    def get_fitness(self):
-        return self.fitness
-
-    def get_value(self):
-        return self.value
-
-    def print_value(self):
-        print(self.value)
-
-    def print_fitness(self):
-        print(self.fitness)
-
-class chromosome:
-    # Defults
-        # fitness = Anything, genes = [gene,gene,gene,etc]
-    def __init__(self):
-        self.fitness = None
-        self.genes = []
-
-    def add_gene(self,gene):
-        self.genes.append(gene)
-
-    def get_fitness(self):
-        return self.fitness
-
-    def get_chromosome(self):
-        return self.genes
-
-    def print_chromosome(self):
-        for i in range(len(self.genes)):
-            # Print the gene one by one.
-            if(i == len(self.genes) - 1):
-                print(f"[{self.genes[i].get_value()}]")
-            else:
-                print(f"[{self.genes[i].get_value()}],", end = '')
-
-class population:
-    # population = [chromosome,chromosome,etc]
-    def __init__(self):
-        self.chromosomes = []
-
-    def add_chromosome(self,chromosome):
-        self.chromosomes.append(chromosome)
 
 class GA:
     def __init__(self):
@@ -85,33 +26,3 @@ class GA:
     def evolve(self):
         # Evolve will run all the functions
         initialize()
-
-
-class defaults(self):
-
-    def __init__(self):
-        self.generations = 3
-        self.chromosome_length = 4
-        self.population_size = 5
-        self.mutation_rate = 0.03
-
-    def default_gene_function():
-        return random.randint(1, 100)
-
-    def default_fitness_function():
-        pass
-
-    def default_initialize_functio():
-        return random_initialization()
-
-    def default_selection_function():
-        return tournament_selection()
-
-    def default_crossover_function():
-        return fast_single_point_crossover()
-
-    def default_mutations_function():
-        return per_gene_mutation()
-
-    def default_termination_function(generations):
-        return generation_termination(generations)

src/chromosome.py

@@ -0,0 +1,22 @@
+class chromosome:
+    # fitness = Empty, genes = [gene,gene,gene,etc]
+    def __init__(self):
+        self.fitness = None
+        self.genes = []
+
+    def add_gene(self,gene):
+        self.genes.append(gene)
+
+    def get_fitness(self):
+        return self.fitness
+
+    def get_chromosome(self):
+        return self.genes
+
+    def print_chromosome(self):
+        for i in range(len(self.genes)):
+            # Print the gene one by one.
+            if(i == len(self.genes) - 1):
+                print(f"[{self.genes[i].get_value()}]")
+            else:
+                print(f"[{self.genes[i].get_value()}],", end = '')

src/defaults.py

@@ -0,0 +1,31 @@
+class defaults(self):
+# Defult values so that the user doesnt have to explicidly
+# state every feature of the genetic algorithm.
+
+
+    def __init__(self):
+        self.generations = 3
+        self.chromosome_length = 4
+        self.population_size = 5
+        self.mutation_rate = 0.03
+
+    def default_gene_function():
+        return random.randint(1, 100)
+
+    def default_fitness_function():
+        pass
+
+    def default_initialize_functio():
+        return random_initialization()
+
+    def default_selection_function():
+        return tournament_selection()
+
+    def default_crossover_function():
+        return fast_single_point_crossover()
+
+    def default_mutations_function():
+        return per_gene_mutation()
+
+    def default_termination_function(generations):
+        return generation_termination(generations)

src/gene.py

@@ -0,0 +1,25 @@
+def check_gene(value):
+    #Check to make sure the gene is not empty
+    assert value != "" , "Gene can not be empty"
+    return value
+
+class gene:
+    # fitness = Empty, value = Define by gene function
+    def __init__(self, value):
+        self.fitness = None
+        self.value = check_gene(value)
+
+    def set_fitness(self,fitness):
+        self.fitness = fitness
+
+    def get_fitness(self):
+        return self.fitness
+
+    def get_value(self):
+        return self.value
+
+    def print_value(self):
+        print(self.value)
+
+    def print_fitness(self):
+        print(self.fitness)

src/population.py

@@ -0,0 +1,8 @@
+class population:
+    # population = [chromosome,chromosome,etc]
+    def __init__(self):
+        self.chromosomes = []
+        self.fitness = None
+
+    def add_chromosome(self,chromosome):
+        self.chromosomes.append(chromosome)