diff --git a/src/initialization/initialization_methods.py b/src/initialization/initialization_methods.py
index 152fa24..9fb4206 100644
--- a/src/initialization/initialization_methods.py
+++ b/src/initialization/initialization_methods.py
@@ -1,6 +1,27 @@
+def chromosomes_to_population(initialize):
+    return lambda ga: ga.make_population([initialize(ga) for _ in range(ga.population_size)])
+
+def genes_to_chromosome(initialize):
+    return lambda ga: ga.make_chromosome([genes for genes in initialize(ga)])
+
+def value_to_gene(initialize):
+    return lambda ga: (ga.make_gene(value) for value in initialize(ga))
+
+
 class Initialization_Methods:
     """Initialization examples that are used as defaults and examples"""
 
+    def __chromosomes_to_population(initialize):
+        return chromosomes_to_population(initialize)
+    def __genes_to_chromosome(initialize):
+        return genes_to_chromosome(initialize)
+    def __value_to_gene(initialize):
+        return value_to_gene(initialize)
+
+
+    @chromosomes_to_population
+    @genes_to_chromosome
+    @value_to_gene
     def random_initialization(ga):
         """Takes the initialization inputs and
         - return a new population
@@ -10,21 +31,14 @@ class Initialization_Methods:
 
         # Using the chromosome_impl to set every index inside of the chromosome
         if ga.chromosome_impl is not None:
-            return ga.make_population([
-                       ga.make_chromosome([
-                           ga.make_gene(value)
-                       for value in ga.chromosome_impl()])
-                   for i in range(ga.population_size)])
+            for value in ga.chromosome_impl():
+                yield value
 
         # Using the gene_impl to set every gene to be the same
         elif ga.gene_impl is not None:
-            return ga.make_population([
-                       ga.make_chromosome([
-                           ga.make_gene(ga.gene_impl())
-                       for j in range(ga.chromosome_length)])
-                   for i in range(ga.population_size)])
+            for _ in range(ga.population_size):
+                yield ga.gene_impl()
 
         # Exit because no gene creation method specified
         else:
-            print("You did not specify any initialization constraints.")
-            return None
+            raise Exception("Did not specify any initialization constraints.")