[pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

Author: pre-commit-ci[bot]

genetic_algorithm/genetic_algorithm_optimization.py

@@ -25,7 +25,7 @@ def __init__(
         generations: int,
         mutation_prob: float,
         crossover_rate: float,
-        maximize: bool = True
+        maximize: bool = True,
     ) -> None:
         self.function = function  # Target function to optimize
         self.bounds = bounds  # Search space bounds (for each variable)
@@ -75,7 +75,9 @@ def fitness(self, individual: np.ndarray) -> float:
         value = self.function(*individual)
         return value if self.maximize else -value  # If minimizing, invert the fitness
 
-    def select_parents(self, population_score: list[tuple[np.ndarray, float]]) -> list[np.ndarray]:
+    def select_parents(
+        self, population_score: list[tuple[np.ndarray, float]]
+    ) -> list[np.ndarray]:
         """
         Select top N_SELECTED parents based on fitness.
 
@@ -94,7 +96,9 @@ def select_parents(self, population_score: list[tuple[np.ndarray, float]]) -> li
         population_score.sort(key=lambda x: x[1], reverse=True)
         return [ind for ind, _ in population_score[:N_SELECTED]]
 
-    def crossover(self, parent1: np.ndarray, parent2: np.ndarray) -> tuple[np.ndarray, np.ndarray]:
+    def crossover(
+        self, parent1: np.ndarray, parent2: np.ndarray
+    ) -> tuple[np.ndarray, np.ndarray]:
         """
         Perform uniform crossover between two parents to generate offspring.