diff --git a/anti_clustering/simulated_annealing_heuristic.py b/anti_clustering/simulated_annealing_heuristic.py
index fb0a464..20db648 100644
--- a/anti_clustering/simulated_annealing_heuristic.py
+++ b/anti_clustering/simulated_annealing_heuristic.py
@@ -51,7 +51,7 @@ def _solve(self, distance_matrix: npt.NDArray[float], num_groups: int) -> npt.ND
         objective = self._calculate_objective(cluster_assignment, distance_matrix)
         for iteration in range(self.iterations):
             if self.verbose and iteration % 5 == 0:
-                print(f'Iteration {iteration + 1} of {len(distance_matrix)}')
+                print(f'Iteration {iteration + 1} of {self.iterations}')
 
             # Select random element
             i = self.rnd.randint(0, len(distance_matrix) - 1)