active the write data function to log the data

.gitignore

 .*__*
 .*/__*
 .*/__pycache__
-bike/__pycache__/gen.cpython-310.pyc
-bike/__pycache__/simu_bike.cpython-310.pyc
-debug.log
+bike/__pycache__/*
+debug.log
+data/*
\ No newline at end of file

main.py

@@ -3,13 +3,7 @@
 import src.genetic_algo as ga
 import bike.simu_bike as sb
 
-# points_position = np.random.rand(4, 2)*8+3
-
-# a_bike=sb.creat_bike(points_position=points_position)
-# print(a_bike)
-
-
-gen=ga.Genetic_algorithm(population_size=20,
+gen=ga.Genetic_algorithm(population_size=5,
                          start_point=(0,5),
                          side_length=5,
                          fit_func=sb.creat_bike)

src/genetic_algo.py

@@ -122,10 +122,7 @@ class Population():
     def save_population_to_file(self,filename):
         with open(filename,"w") as f:
             json.dump([ind.coordinates for ind in self.population],f)
-    def load_fitness_score_from_file(self,filename):
-        with open(filename,"r") as f:
-            fitness_scores =json.load(f)
-        return fitness_scores
+        f.close()
 
 class Genetic_algorithm():
     '''
@@ -271,13 +268,14 @@ random.randint(start_point[1], start_point[1]+side_length)),
         # START   
         # Generate the initial population and Compute fitness     
         self.p = Population(self.__population_size, self.__start_point, self.__side_length, self.fit_func)  
-        #self.p.save_population_to_file()
-        #self.p.load_fitness_score_from_file("data/population.json")
 
         average_fitness_score = self.p.average_fitness_score()
         best_fitness_score = self.p.best_fitness_score()
         # REPEAT  
+        file_counter=0
         while abs(best_fitness_score - average_fitness_score) > 0.5:
+            self.p.save_population_to_file("data/population_"+str(file_counter)+".json")
+            file_counter+=1
             # Selection
             top_individuals = self.selection(self.p, percentage=0.2)    
             # Crossover