diff --git a/src/AI/GaTravelingForHerbs/GeneticAlgorithm.py b/src/AI/GaTravelingForHerbs/GeneticAlgorithm.py
index bdd2c2f..67af630 100644
--- a/src/AI/GaTravelingForHerbs/GeneticAlgorithm.py
+++ b/src/AI/GaTravelingForHerbs/GeneticAlgorithm.py
@@ -11,7 +11,7 @@ class GeneticAlgorithm:
         return sorted_by_assess[:max_selected]
 
     def stopCondition(self, i):
-        return i == 100
+        return i == 64
 
     def run(self):
         population = self.firstPopulation
@@ -29,7 +29,7 @@ class GeneticAlgorithm:
 
             population = newPopulation
             theBestMatch = min(population, key=lambda x: x.fitness)
-            print("Generation: {} S: {} fitness: {}".format(i, theBestMatch, theBestMatch.fitness))
+            print("Generation: {} S: {} fitness: {}".format(i+1, theBestMatch, theBestMatch.fitness))
 
             i += 1
             if self.stopCondition(i):
diff --git a/src/AI/GaTravelingForHerbs/Traveling.py b/src/AI/GaTravelingForHerbs/Traveling.py
index 5d66d6f..f82e858 100644
--- a/src/AI/GaTravelingForHerbs/Traveling.py
+++ b/src/AI/GaTravelingForHerbs/Traveling.py
@@ -1,11 +1,10 @@
 from random import randint, sample
 from math import sqrt
 
-from src.AI.GaTravelingForHerbs.GeneticAlgorithm import GeneticAlgorithm
-
 START_COORD = [(6, 2)]
 END_COORD = [(10, 7)]
 
+
 class Traveling:
     def __init__(self, coords):
         self.coords = coords
@@ -21,13 +20,13 @@ class Traveling:
             sum += sqrt((nextCoord[0] - c[0]) ** 2 + (nextCoord[1] - c[1]) ** 2)
         return sum
 
-    def crossover(self, element2: 'Element') -> 'Element':
+    def crossover(self, parentCoords):
         childCoords = self.coords[1:int(len(self.coords) / 2)]
-        for coord in element2.coords:
+        for coord in parentCoords.coords:
             if coord not in childCoords and coord not in END_COORD + START_COORD:
                 childCoords.append(coord)
 
-            if len(childCoords) == len(element2.coords):
+            if len(childCoords) == len(parentCoords.coords):
                 break
         return Traveling(START_COORD + childCoords + END_COORD)
 
@@ -39,11 +38,3 @@ class Traveling:
 
     def __repr__(self):
         return str(self.coords)
-
-
-# firstGeneration = [Traveling(START_COORD + sample(COORDS, len(COORDS)) + END_COORD) for _ in range(100)]
-# mutationProbability = float(0.1)
-#
-# ga = GeneticAlgorithm(firstGeneration, mutationProbability)
-# movementList = ga.run()
-