Changed implementation framework

Instead of a nested approach, selection/crossover/mutation are all called separately and directly by the GA. selection_impl was also separated into parent_selection_impl and survivor_selection_impl, as both are needed separately.

src/run_testing.py

@@ -5,7 +5,10 @@ import random
 # Create the Genetic algorithm
 ga = EasyGA.GA()
 
-ga.gene_impl = [random.randrange,1,25]
+#def random_parent_selection(population):
+    #while ()
+
+ga.gene_impl = [random.randrange,1,100]
 
 # Run Everything
 ga.evolve()