diff --git a/backend/src/parameters/landmark_parameters.yaml b/backend/src/parameters/landmark_parameters.yaml
index 983b9c8..aa68e2f 100644
--- a/backend/src/parameters/landmark_parameters.yaml
+++ b/backend/src/parameters/landmark_parameters.yaml
@@ -7,5 +7,5 @@ tag_exponent: 1.15
 image_bonus: 10
 viewpoint_bonus: 15
 wikipedia_bonus: 6
-N_important: 50
+N_important: 40
 pay_bonus: -1
diff --git a/backend/src/parameters/optimizer_parameters.yaml b/backend/src/parameters/optimizer_parameters.yaml
index 6dc49d2..77efa02 100644
--- a/backend/src/parameters/optimizer_parameters.yaml
+++ b/backend/src/parameters/optimizer_parameters.yaml
@@ -1,5 +1,5 @@
 detour_factor: 1.4
-detour_corridor_width: 200
+detour_corridor_width: 300
 average_walking_speed: 4.8
 max_landmarks: 10
 max_landmarks_refiner: 20
diff --git a/backend/src/tester.py b/backend/src/tester.py
index acfec75..cc4118c 100644
--- a/backend/src/tester.py
+++ b/backend/src/tester.py
@@ -24,8 +24,8 @@ def test(start_coords: tuple[float, float], finish_coords: tuple[float, float] =
         nature=Preference(type='nature', score = 5),
         shopping=Preference(type='shopping', score = 5),
 
-        max_time_minute=1000,
-        detour_tolerance_minute=0
+        max_time_minute=120,
+        detour_tolerance_minute=10
     )
 
     # Create start and finish 
@@ -70,9 +70,9 @@ def test(start_coords: tuple[float, float], finish_coords: tuple[float, float] =
     return linked_tour
 
 
-test(tuple((48.8344400, 2.3220540)))       # Café Chez César 
+# test(tuple((48.8344400, 2.3220540)))       # Café Chez César 
 # test(tuple((48.8375946, 2.2949904)))       # Point random
-# test(tuple((47.377859, 8.540585)))         # Zurich HB
-# test(tuple((45.7576485, 4.8330241)))      # Lyon Bellecour
+test(tuple((47.377859, 8.540585)))         # Zurich HB
+# test(tuple((45.758217, 4.831814)))      # Lyon Bellecour
 # test(tuple((48.5848435, 7.7332974)))      # Strasbourg Gare
 # test(tuple((48.2067858, 16.3692340)))      # Vienne
diff --git a/backend/src/utils/landmarks_manager.py b/backend/src/utils/landmarks_manager.py
index d914c74..6e81237 100644
--- a/backend/src/utils/landmarks_manager.py
+++ b/backend/src/utils/landmarks_manager.py
@@ -318,6 +318,7 @@ class LandmarkManager:
 
                     if "viewpoint" in tag:
                         score += self.viewpoint_bonus
+                        duration = 10
 
                     if "image" in tag:
                         score += self.image_bonus
@@ -334,7 +335,6 @@ class LandmarkManager:
                         if tag == "building" and elem.tag('building') in ['retail', 'supermarket', 'parking']:
                             skip = True
                             break
-
                     
                     # Get additional information
                     # if tag == 'wikipedia' :
@@ -352,14 +352,14 @@ class LandmarkManager:
                 score = score_function(score)
                 if "place_of_worship" in elem.tags().values() :
                     score = int(score*self.church_coeff)
-                    duration = 20
+                    duration = 15
                 
                 elif "museum" in elem.tags().values() :
                     score = int(score*self.church_coeff)
                     duration = 60
                 
                 else : 
-                    duration = 30
+                    duration = 5
 
                 # Generate the landmark and append it to the list
                 landmark = Landmark(
diff --git a/backend/src/utils/optimizer.py b/backend/src/utils/optimizer.py
index b20412e..38fc375 100644
--- a/backend/src/utils/optimizer.py
+++ b/backend/src/utils/optimizer.py
@@ -193,7 +193,7 @@ class Optimizer:
             for j, spot2 in enumerate(landmarks) :
                 t = get_time(spot1.location, spot2.location) + spot1.duration
                 dist_table[j] = t
-            closest = sorted(dist_table)[:22]
+            closest = sorted(dist_table)[:20]
             for i, dist in enumerate(dist_table) :
                 if dist not in closest :
                     dist_table[i] = 32700