diff --git a/genetic_algorithm/genetic_algorithm_optimization.py b/genetic_algorithm/genetic_algorithm_optimization.py
index 9cb059553..23cc9bdf3 100644
--- a/genetic_algorithm/genetic_algorithm_optimization.py
+++ b/genetic_algorithm/genetic_algorithm_optimization.py
@@ -54,7 +54,7 @@ class GeneticAlgorithm:
         ... )
         >>> len(ga.initialize_population())
         5  # The population size should be equal to 5.
-        >>> all(len(ind) == 2 for ind in ga.initialize_population())  
+        >>> all(len(ind) == 2 for ind in ga.initialize_population())
         # Each individual should have 2 variables
         True
         """
@@ -134,7 +134,7 @@ class GeneticAlgorithm:
             parent2 (np.ndarray): The second parent.
         Returns:
             tuple[np.ndarray, np.ndarray]: The two offspring generated by crossover.
-        
+
         Example:
         >>> ga = GeneticAlgorithm(
         ...     lambda x, y: -(x**2 + y**2),
@@ -276,7 +276,7 @@ def target_function(var_x: float, var_y: float) -> float:
         var_y (float): The y-coordinate.
     Returns:
         float: The value of the function at (var_x, var_y).
-    
+
     Example:
     >>> target_function(0, 0)
     0