diff --git a/config/constants.py b/config/constants.py
index febbb66..06ea318 100644
--- a/config/constants.py
+++ b/config/constants.py
@@ -19,8 +19,8 @@ SELECTION_GRAY = (128, 128, 128, 80)
 SELECTION_BORDER = (80, 80, 90)
 
 # Grid settings
-GRID_WIDTH = 100
-GRID_HEIGHT = 100
+GRID_WIDTH = 50
+GRID_HEIGHT = 50
 CELL_SIZE = 20
 RENDER_BUFFER = 50
 
diff --git a/core/simulation_engine.py b/core/simulation_engine.py
index 90c5982..3439434 100644
--- a/core/simulation_engine.py
+++ b/core/simulation_engine.py
@@ -81,13 +81,13 @@ class SimulationEngine:
 
         if FOOD_SPAWNING:
             for _ in range(FOOD_OBJECTS_COUNT):
-                x = random.randint(-half_width, half_width)
-                y = random.randint(-half_height, half_height)
+                x = random.randint(-half_width // 2, half_width // 2)
+                y = random.randint(-half_height // 2, half_height // 2)
                 world.add_object(FoodObject(Position(x=x, y=y)))
 
         for _ in range(300):
             new_cell = DefaultCell(
-                Position(x=random.randint(-half_width, half_width), y=random.randint(-half_height, half_height)),
+                Position(x=random.randint(-half_width // 2, half_width // 2), y=random.randint(-half_height // 2, half_height // 2)),
                 Rotation(angle=0)
             )
             new_cell.behavioral_model = new_cell.behavioral_model.mutate(3)
diff --git a/world/objects.py b/world/objects.py
index 011ff08..82670c3 100644
--- a/world/objects.py
+++ b/world/objects.py
@@ -315,10 +315,10 @@ class DefaultCell(BaseEntity):
             duplicate_y_2 += random.randint(-self.max_visual_width, self.max_visual_width)
 
             new_cell = DefaultCell(Position(x=int(duplicate_x), y=int(duplicate_y)), Rotation(angle=random.randint(0, 359)))
-            new_cell.set_brain(self.behavioral_model.mutate(0.4))
+            new_cell.set_brain(self.behavioral_model.mutate(0.025))
 
             new_cell_2 = DefaultCell(Position(x=int(duplicate_x_2), y=int(duplicate_y_2)), Rotation(angle=random.randint(0, 359)))
-            new_cell_2.set_brain(self.behavioral_model.mutate(0.4))
+            new_cell_2.set_brain(self.behavioral_model.mutate(0.025))
 
             return [new_cell, new_cell_2]
 
@@ -350,7 +350,7 @@ class DefaultCell(BaseEntity):
 
         movement_cost = abs(output_data["angular_acceleration"]) + abs(output_data["linear_acceleration"])
 
-        self.energy -= (self.behavioral_model.neural_network.network_cost * 0.1) + 1 + (0.3 * movement_cost)
+        self.energy -= (self.behavioral_model.neural_network.network_cost * 0.15) + 1 + (0.3 * movement_cost)
 
         return self