diff --git a/src/initialization/initialization_methods.py b/src/initialization/initialization_methods.py
index b41a2d9..590fee5 100644
--- a/src/initialization/initialization_methods.py
+++ b/src/initialization/initialization_methods.py
@@ -12,16 +12,15 @@ class Initialization_Methods:
         if ga.chromosome_impl != None:
             return ga.make_population([
                        ga.make_chromosome([
-                           ga.make_gene(ga.chromosome_impl(j))
-                       for j in range(ga.chromosome_length)])
+                           ga.make_gene(value)
+                       for value in ga.chromosome_impl()])
                    for i in range(ga.population_size)])
 
         # Using the gene_impl to set every gene to be the same
         elif ga.gene_impl != None:
-            function = ga.gene_impl[0]
             return ga.make_population([
                        ga.make_chromosome([
-                           ga.make_gene(function(*ga.gene_impl[1:]))
+                           ga.make_gene(ga.gene_impl())
                        for j in range(ga.chromosome_length)])
                    for i in range(ga.population_size)])
 
diff --git a/src/mutation/mutation_methods.py b/src/mutation/mutation_methods.py
index 8d49190..7b3f258 100644
--- a/src/mutation/mutation_methods.py
+++ b/src/mutation/mutation_methods.py
@@ -25,14 +25,13 @@ class Mutation_Methods:
             # Using the chromosome_impl to set every index inside of the chromosome
             if ga.chromosome_impl != None:
                 return ga.make_chromosome([
-                           ga.make_gene(ga.chromosome_impl(j))
-                       for j in range(chromosome.size())])
+                           ga.make_gene(value)
+                       for value in ga.chromosome_impl()])
 
             # Using the gene_impl
             elif ga.gene_impl != None:
-                function = ga.gene_impl[0]
                 return ga.make_chromosome([
-                           ga.make_gene(function(*ga.gene_impl[1:]))
+                           ga.make_gene(ga.gene_impl())
                        for j in range(chromosome.size())])
 
             # Exit because no gene creation method specified
@@ -48,13 +47,12 @@ class Mutation_Methods:
             # Using the chromosome_impl
             if ga.chromosome_impl != None:
                 index = random.randint(0, chromosome.size()-1)
-                chromosome.set_gene(ga.make_gene(ga.chromosome_impl(index)), index)
+                chromosome.set_gene(ga.make_gene(ga.chromosome_impl()[index]), index)
 
             # Using the gene_impl
             elif ga.gene_impl != None:
-                function = ga.gene_impl[0]
                 index = random.randint(0, chromosome.size()-1)
-                chromosome.set_gene(ga.make_gene(function(*ga.gene_impl[1:])), index)
+                chromosome.set_gene(ga.make_gene(ga.gene_impl()), index)
 
             # Exit because no gene creation method specified
             else:
diff --git a/src/run_testing.py b/src/run_testing.py
index e595e00..8e8a295 100644
--- a/src/run_testing.py
+++ b/src/run_testing.py
@@ -3,9 +3,9 @@ import EasyGA
 
 # Create the Genetic algorithm
 ga = EasyGA.GA()
-ga.population_size = 25
+ga.population_size = 100
 ga.generation_goal = 100
-ga.gene_impl       = [random.randint,0,10]
+ga.gene_impl       = lambda: random.randint(1, 10)
 ga.selection_probability = 0.5
 ga.fitness_function_impl     = EasyGA.Fitness_Examples.near_5
 ga.parent_selection_impl     = EasyGA.Parent_Selection.Roulette.stochastic_selection