Added to database file

src/run.py

@@ -4,21 +4,11 @@ import matplotlib.pyplot as plt
 # Create the genetic algorithm
 ga = EasyGA.GA()
 
-# Create 25 chromosomes each with 10 genes and 200 generations
-ga.population_size = 200
-ga.chromosome_length = 10
-ga.generation_goal = 150
-
-# Evolve the genetic algorithm
 ga.evolve()
-# Print generation and population
-ga.print_generation()
-ga.print_population()
 
-# Plot the data from the genetic algorithm
-plt.figure(figsize = [6, 6])
-ga.graph.highest_value_chromosome()  # Change this so it doesn't make its own figure or show
-plt.xlabel('My datas generations')             # override the xlabel
-plt.ylabel('How well the fitness is')  # override the ylabel
-plt.title('My GA fitness x generations')     # override the title
-plt.show()
+ga.database.past_runs()
+
+
+
+ga.graph.highest_value_chromosome(1)  # Change this so it doesn't make its own figure or show
+ga.graph.show()