it s alive, need to smooth fitness

genetics.py

@@ -1,6 +1,7 @@
 import numpy as np
 import random
 from brain import Neural_Network
+from params import MUTATION_RATE
 
 def genetic_selection(brains):
     # tot_fitness = sum ([int(b.fitness) for b in brains])
@@ -36,7 +37,7 @@ def cross_mutate_genes(p1_gene, p2_gene):
         else :
             choice = p2_gene[idx]
         # Mutation
-        if random.random() < 0.005 :
+        if random.random() < MUTATION_RATE :
             choice[random.randint(0, len(choice) - 1)] = random.random()
             print("Mutation !")
         child.append(choice)