diff --git a/Solid/GeneticAlgorithm.py b/Solid/GeneticAlgorithm.py
index cf1c83c..01affd2 100644
--- a/Solid/GeneticAlgorithm.py
+++ b/Solid/GeneticAlgorithm.py
@@ -32,7 +32,7 @@ def __init__(self, crossover_rate, mutation_rate, max_steps, max_fitness=None):
         :param max_fitness: fitness value to stop algorithm once reached
         """
         if isinstance(crossover_rate, float):
-            if crossover_rate >= 0 and crossover_rate <= 1:
+            if 0 <= crossover_rate <= 1:
                 self.crossover_rate = crossover_rate
             else:
                 raise ValueError('Crossover rate must be a float between 0 and 1')
@@ -40,7 +40,7 @@ def __init__(self, crossover_rate, mutation_rate, max_steps, max_fitness=None):
             raise ValueError('Crossover rate must be a float between 0 and 1')
 
         if isinstance(mutation_rate, float):
-            if mutation_rate >= 0 and mutation_rate <= 1:
+            if 0 <= mutation_rate <= 1:
                 self.mutation_rate = mutation_rate
             else:
                 raise ValueError('Mutation rate must be a float between 0 and 1')
@@ -186,7 +186,7 @@ def run(self, verbose=True):
         for i in range(self.max_steps):
             self.cur_steps += 1
 
-            if ((i + 1) % 100 == 0) and verbose:
+            if verbose and ((i + 1) % 100 == 0):
                 print(self)
 
             self.population = self._select_n(num_copy)