def main():
chromosome_size = 24
population_size = 100
constraint = 5000
prob_crossover = 0.9
prob_mutation = 0.001
max_generations = 100
solver = GA(chromosome_size,population_size,constraint,prob_crossover,prob_mutation,max_generations)
Results = []
chromosome = 0
i = count()
while(solver.termination_test()):
solver.generate_new_population()
chromosome, score = solver.get_best_fitness_chromosome()
Results.append(score)
items, total_price, total_value = solver.convert_chromosome_to_item_list(chromosome)
print(items)
print()
print(f"Total price : {total_price}")
print(f"Total value: {total_value}" )
visualize(Results)
